WHALE OPTIMIZATION ALGORITHM FOR MEDICAL DIAGNOSTIC: A SYSTEMATIC LITERATURE REVIEW
Keywords:
WOA, Metaheuristic Algorithm, SLR, Prisma, Medical DiagnosticAbstract
A lot of factors, including noise, have a harmful impact on the health of people from all walks of life, including unborn children. In the medical field, grouping research utilizing WOA was required. Data is gathered from a number of reliable sources, including IEEE and Scopus. Practical applications serve as a "Laboratory" in the action research methodology for testing theories. on items that have been synthesized. Regarding WOA for medicinal purposes, there are three basic concepts. The plan calls for the use of WOA for medical diagnostic. A population-based method called the Whale Optimization Method (WOA) uses a randomized collectivist humpback whale sample to improve prospective solutions. Three of the 74 journals gathered satisfied the predetermined criteria.
References
AbdelAziz, A. M., Soliman, T., Ghany, K. K. A., & Sewisy, A. (2021). A Hybrid Multi-Objective Whale Optimization Algorithm For Analyzing Microarray Data Based On Apache Spark. PeerJ Computer Science, 7, 1–26. https://doi.org/10.7717/peerj-cs.416
Ala, A., Alsaadi, F. E., Ahmadi, M., & Mirjalili, S. (2021). Optimization of an appointment scheduling problem for healthcare systems based on the quality of fairness service using whale optimization algorithm and NSGA-II. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-98851-7
Alizada, B. (2020). Issue: 1 Date. In ISVOS JOURNAL) (Vol. 2020, Issue 4).
Al-Khazraji, H. (2022). Comparative Study of Whale Optimization Algorithm and Flower Pollination Algorithm to Solve Workers Assignment Problem. International Journal of Production Management and Engineering, 10(1), 91–98. https://doi.org/10.4995/ijpme.2022.16736
Best Feature Selection using Modified Whale Optimization Algorithm for Prediction of Heart Disease. (2020). International Journal of Innovative Technology and Exploring Engineering, 9(3S), 410–414. https://doi.org/10.35940/ijitee.c1088.0193s20
Chen, B., Zhou, X., Yang, L., Zhou, H., Meng, M., Zhang, L., & Li, J. (2022). A Cuproptosis Activation Scoring model predicts neoplasm-immunity interactions and personalized treatments in glioma. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105924
Chen, L., Liu, D., Yang, J., Jiang, M., Liu, S., & Wang, Y. (2022). Construction and application of COVID-19 infectors activity information knowledge graph. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105908
Chung, J., & Teo, J. (2022). Mental Health Prediction Using Machine Learning: Taxonomy, Applications, and Challenges. In Applied Computational Intelligence and Soft Computing (Vol. 2022). Hindawi Limited. https://doi.org/10.1155/2022/9970363
Diambra, L., Alonso, A. M., Sookoian, S., & Pirola, C. J. (2022). Single cell gene expression profiling of nasal ciliated cells reveals distinctive biological processes related to epigenetic mechanisms in patients with severe COVID-19. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105895
Guo, Y., Li, G., Xu, M., & Peng, B. (2022). A lncRNA signature of tumor-infiltrating macrophages is associated with prognosis and tumor immunity in lung adenocarcinoma. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105655
Gupta, P., Bhagat, S., Saini, D. K., Kumar, A., Alahmadi, M., & Sharma, P. C. (2022). Hybrid Whale Optimization Algorithm for Resource Optimization in Cloud E-Healthcare Applications. Computers, Materials and Continua, 71(2), 5659–5676. https://doi.org/10.32604/cmc.2022.023056
Hajihashemi, V., Hassani, Z., Dehmajnoonie, I., & Borna, K. (2019). Hybrid Algorithms of Whale optimization algorithm and k-nearest neighbor to Predict the liver disease. EAI Endorsed Transactions on Context-Aware Systems and Applications, 6(16), 156838. https://doi.org/10.4108/eai.13-7-2018.156838
Hassanein, W. S., Ahmed, M. M., Mosaad, M. I., & Abu-Siada, A. (2021a). Estimation of transmission line parameters using voltage-current measurements and whale optimization algorithm. Energies, 14(11). https://doi.org/10.3390/en14113239
Hassanein, W. S., Ahmed, M. M., Mosaad, M. I., & Abu-Siada, A. (2021b). Estimation of transmission line parameters using voltage-current measurements and whale optimization algorithm. Energies, 14(11). https://doi.org/10.3390/en14113239
Hosseinabadi, A., Sadeghilalimi, M., Shareh, M., Mouhoub, M., & Sadaoui, S. (2022). Whale Optimization-based Prediction for Medical Diagnostic. 211–217. https://doi.org/10.5220/0010802200003116
Hussien, A. G., Oliva, D., Houssein, E. H., Juan, A. A., & Yu, X. (2020). Binary whale optimization algorithm for dimensionality reduction. Mathematics, 8(10), 1–24. https://doi.org/10.3390/math8101821
Igodan, E. C., Ukaoha, K. C., & Oliomogbe, S. O. P. (2021). TOWARDS GLOBAL OPTIMIZATION OF NEURAL NETWORK: A COMPARATIVE ANALYSIS USING GENETIC AND WHALE OPTIMIZATION ALGORITHMS. Journal of Biomedical Engineering and Medical Imaging, 8(6), 89–101. https://doi.org/10.14738/jbemi.86.11004
International Journal, A., Ciaccio, E. J., Cheng, H., Guido, R. C., Bui, A. A., Elmogy, M. M., Fotiadis, D., Gao, R., Hu, D., Jerusalem, A., Jin, Z., Kleinstreuer, C., Kumar, A., Liu, F., Lucas, P., Mao Primer, Q. A., Francisco, S., Sara Marceglia Politecnico di Milano, U. R., George Matsopoulos, I. K., … Zou, Q. (n.d.). Computers in Biology and Medicine Editor-in-Chief: Associate Editors.
J, R., & K, K. (2017). DIABETES DATA CLASSIFICATION USING WHALE OPTIMIZATION ALGORITHM AND BACKPROPAGATION NEURAL NETWORK. International Research Journal of Pharmacy, 8(11), 219–222. https://doi.org/10.7897/2230-8407.0811242
Jami, E. S., Pritchard, M., Shetty, H., Stewart, R., Young, A. H., & Heslin, M. (2021). Antidepressant and antipsychotic treatment of Psychotic Major Depression in a British mental healthcare setting. Journal of Mental Health. https://doi.org/10.1080/09638237.2021.1922632
Kaya, E., K?l?ç, A., Babao?lu, ?., & Babal?k, A. (2021). Fuzzy Adaptive Whale Optimization Algorithm for Numeric Optimization. Malaysian Journal of Computer Science, 34(2), 184–198. https://doi.org/10.22452/mjcs.vol34no2.4
Khaleel, L. R., & Mitras, B. A. (2020). Hybrid Whale Optimization Algorithm with Modified Conjugate Gradient Method to Solve Global Optimization Problems. OALib, 07(06), 1–18. https://doi.org/10.4236/oalib.1106459
Kshirsagar, P. R., Manaoharan, H., Tirth, V., Islam, S., Srivastava, S., Sahni, V., Thangamani, M., Khanapurkar, M. M., & Sundramurthy, V. P. (2022). Implementation of Whale Optimization for Budding Healthiness of Fishes with Preprocessing Approach. In Journal of Healthcare Engineering (Vol. 2022). Hindawi Limited. https://doi.org/10.1155/2022/2345600
Lawal, B., Kuo, Y. C., Rachmawati Sumitra, M., Wu, A. T. H., & Huang, H. S. (2022). Identification of a novel immune-inflammatory signature of COVID-19 infections, and evaluation of pharmacokinetics and therapeutic potential of RXn-02, a novel small-molecule derivative of quinolone. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105814
Li, H., Zheng, X., Gao, J., Leung, K. S., Wong, M. H., Yang, S., Liu, Y., Dong, M., Bai, H., Ye, X., & Cheng, L. (2022). Whole transcriptome analysis reveals non-coding RNA’s competing endogenous gene pairs as novel form of motifs in serous ovarian cancer. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105881
Li, Y., Han, T., Han, B., Zhao, H., & Wei, Z. (2019). Whale Optimization Algorithm with Chaos Strategy and Weight Factor. Journal of Physics: Conference Series, 1213(3). https://doi.org/10.1088/1742-6596/1213/3/032004
Li, Y., Wang, H., Fan, J., & Geng, Y. (2022). A novel Q-learning algorithm based on improved whale optimization algorithm for path planning. PloS One, 17(12), e0279438. https://doi.org/10.1371/journal.pone.0279438
Mafarja, M. M., & Mirjalili, S. (2017). Hybrid Whale Optimization Algorithm with simulated annealing for feature selection. Neurocomputing, 260, 302–312. https://doi.org/10.1016/j.neucom.2017.04.053
Mahmood, S., Bawany, N. Z., & Tanweer, M. R. (2023). A comprehensive survey of whale optimization algorithm: modifications and classification. Indonesian Journal of Electrical Engineering and Computer Science, 29(2), 899. https://doi.org/10.11591/ijeecs.v29.i2.pp899-910
Mat, A. N., Inan, O., & Karakoyun, M. (2021a). An application of the whale optimization algorithm with Levy flight strategy for clustering of medical datasets. International Journal of Optimization and Control: Theories and Applications, 11(2), 216–226. https://doi.org/10.11121/IJOCTA.01.2021.001091
Mat, A. N., Inan, O., & Karakoyun, M. (2021b). An application of the whale optimization algorithm with Levy flight strategy for clustering of medical datasets. International Journal of Optimization and Control: Theories and Applications, 11(2), 216–226. https://doi.org/10.11121/IJOCTA.01.2021.001091
Mat, A. N., Inan, O., & Karakoyun, M. (2021c). An application of the whale optimization algorithm with Levy flight strategy for clustering of medical datasets. International Journal of Optimization and Control: Theories and Applications, 11(2), 216–226. https://doi.org/10.11121/IJOCTA.01.2021.001091
Mirjalili, S., & Lewis, A. (2016). The Whale Optimization Algorithm. Advances in Engineering Software, 95, 51–67. https://doi.org/10.1016/j.advengsoft.2016.01.008
Mohammed, H. M., Umar, S. U., & Rashid, T. A. (2019a). A Systematic and Meta-Analysis Survey of Whale Optimization Algorithm. In Computational Intelligence and Neuroscience (Vol. 2019). Hindawi Limited. https://doi.org/10.1155/2019/8718571
Mohammed, H. M., Umar, S. U., & Rashid, T. A. (2019b). A Systematic and Meta-Analysis Survey of Whale Optimization Algorithm.
Mohmmadzadeh, H., & Soleimanian Gharehchopogh, F. (2020). A Novel Hybrid Whale Optimization Algorithm with Flower Pollination Algorithm for Feature Selection: Case Study Email Spam Detection. https://doi.org/10.20944/preprints202001.0309.v1
Moreno-Barea, F. J., Franco, L., Elizondo, D., & Grootveld, M. (2022). Application of data augmentation techniques towards metabolomics. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105916
Mostafa Bozorgi, S., & Yazdani, S. (2019a). IWOA: An improved whale optimization algorithm for optimization problems. Journal of Computational Design and Engineering, 6(3), 243–259. https://doi.org/10.1016/j.jcde.2019.02.002
Mostafa Bozorgi, S., & Yazdani, S. (2019b). IWOA: An improved whale optimization algorithm for optimization problems. Journal of Computational Design and Engineering, 6(3), 243–259. https://doi.org/10.1016/j.jcde.2019.02.002
Nadimi-Shahraki, M. H., Taghian, S., Mirjalili, S., Abualigah, L., Elaziz, M. A., & Oliva, D. (2021). Ewoa-opf: Effective whale optimization algorithm to solve optimal power flow problem. Electronics (Switzerland), 10(23). https://doi.org/10.3390/electronics10232975
Nadimi-Shahraki, M. H., Zamani, H., & Mirjalili, S. (2022a). Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105858
Nadimi-Shahraki, M. H., Zamani, H., & Mirjalili, S. (2022b). Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105858
Nathania, Q., Bekti Pratiwi, A., & Suprajitno, & H. (2021). Penyelesaian Container Stowage Problem untuk Kontainer Ukuran 20 Feet menggunakan Whale Optimization Algorithm. In Contemporary Mathematics and Applications (Vol. 3, Issue 2).
Ning, G. Y., & Cao, D. Q. (2021). Improved whale optimization algorithm for solving constrained optimization problems. Discrete Dynamics in Nature and Society, 2021. https://doi.org/10.1155/2021/8832251
Omar, M. F., Bakeri, N. M., Nawi, M. N. M., Hairani, N., & Khalid, K. (2020). Methodology for Modified Whale Optimization Algorithm for Solving Appliances Scheduling Problem. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 76(2), 132–143. https://doi.org/10.37934/arfmts.76.2.132143
Qi, A., Zhao, D., Yu, F., Heidari, A. A., Wu, Z., Cai, Z., Alenezi, F., Mansour, R. F., Chen, H., & Chen, M. (2022). Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105810
Rao, S. U. M., Rao, K. V., & Reddy, P. V. G. D. P. (2022). Medical Big Data Analysis using LSTM based Co-Learning Model with Whale Optimization Approach. International Journal of Intelligent Engineering and Systems, 15(4), 627–636. https://doi.org/10.22266/ijies2022.0831.56
Reddy, P. D. P., Reddy, V. C. V., & Manohar, T. G. (2017). Whale optimization algorithm for optimal sizing of renewable resources for loss reduction in distribution systems. Renewables: Wind, Water, and Solar, 4(1). https://doi.org/10.1186/s40807-017-0040-1
Rochowski, P., & Pontrelli, G. (2022). Mass diffusion in multi-layer systems: an electrical analogue modelling approach. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105774
Rodríguez, A., Cuevas, E., Zaldivar, D., Morales-Castañeda, B., Sarkar, R., & Houssein, E. H. (2022). An agent-based transmission model of COVID-19 for re-opening policy design. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105847
Santhan Kumar, C. H., & Srinivasa Rao, R. (2016). A novel global MPP tracking of photovoltaic system based on whale optimization algorithm. International Journal of Renewable Energy Development, 5(3), 225–232. https://doi.org/10.14710/ijred.5.3.225-232
Sathya, M. (2020). A search space enhanced modified whale optimization algorithm for feature selection in large-scale microarray datasets. Indian Journal of Science and Technology, 13(42), 4396–4406. https://doi.org/10.17485/IJST/v13i42.767
Seyfang, M., Dreyhaupt, J., Wiegreffe, C., Rudolph, H., Luthardt, R. G., & Kuhn, K. (2022). Quantification of MRP8 in immunohistologic sections of peri-implant soft tissue: Development of a novel automated computer analysis method and of its validation procedure. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105861
Singh, A. (2019). Laplacian whale optimization algorithm. International Journal of System Assurance Engineering and Management, 10(4), 713–730. https://doi.org/10.1007/s13198-019-00801-0
Sudha, I., & Nedunchelian, R. (2019). Preserving Healthcare Data In The Cloud Using C-Lion And Whale Optimization Algorithm. INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH, 8(11). www.ijstr.org
Sumathi, P., & Malarvizhi, N. (2022). Whale Optimization Algorithm with Deep Learning-Based Usability Recommendation Model for Medical Mobile. International Journal of Engineering Trends and Technology, 70(5), 251–257. https://doi.org/10.14445/22315381/IJETT-V70I5P227
Sun, W. Z., Wang, J. S., & Wei, X. (2018). An improved whale optimization algorithm based on different searching paths and perceptual disturbance. Symmetry, 10(6). https://doi.org/10.3390/sym10060210
Susman, G. I., & Evered, R. D. (1978). An Assessment of the Scientific Merits of Action Research. In Source: Administrative Science Quarterly (Vol. 23, Issue 4).
Tahsin, A., Ahmed, R., Bhattacharjee, P., Adiba, M., al Saba, A., Yasmin, T., Chakraborty, S., Hasan, A. K. M. M., & Nabi, A. H. M. N. (2022). Most frequently harboured missense variants of hACE2 across different populations exhibit varying patterns of binding interaction with spike glycoproteins of emerging SARS-CoV-2 of different lineages. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105903
Tawhid, M. A., & Ibrahim, A. M. (2020). Feature selection based on rough set approach, wrapper approach, and binary whale optimization algorithm. International Journal of Machine Learning and Cybernetics, 11(3), 573–602. https://doi.org/10.1007/s13042-019-00996-5
Tesis -18.51.1063-Nur Fitrianingsih Hasan-Publish. (n.d.).
Thara, L., & Gunasundari, R. (2018). Whale Optimization Algorithm based Feature Selection with Improved Relevance Vector Machine Classifier for Gastric Cancer Classification. International Journal of Pure and Applied Mathematics, 119(10), 337–348.
Tiwari, V., & Jain, S. C. (n.d.). Histopathological Image Classification using Efficient Bag-of-Features and Whale Optimization Algorithm. https://ssrn.com/abstract=3356718
Uma, S., Rao, M., Rao, V., & Reddy, P. (n.d.). Medical Big Data Analysis using Binary Moth-Flame with Whale Optimization Approach. In IJACSA) International Journal of Advanced Computer Science and Applications (Vol. 13, Issue 8). www.ijacsa.thesai.org
Ustaba? Kaya, G., & Onur, T. Ö. (2022). Genetic algorithm based image reconstruction applying the digital holography process with the Discrete Orthonormal Stockwell Transform technique for diagnosis of COVID-19. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105934
Vaiyapuri, T., & Alaskar, H. (2020). Whale optimization for wavelet-based unsupervised medical image segmentation: Application to ct and mr images. International Journal of Computational Intelligence Systems, 13(1), 941–953. https://doi.org/10.2991/ijcis.d.200625.001
VanBerlo, B., Wu, D., Li, B., Rahman, M. A., Hogg, G., VanBerlo, B., Tschirhart, J., Ford, A., Ho, J., McCauley, J., Wu, B., Deglint, J., Hargun, J., Chaudhary, R., Dave, C., & Arntfield, R. (2022). Accurate assessment of the lung sliding artefact on lung ultrasonography using a deep learning approach. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105953
Wahyu Hidayat, N., & Budiman, F. (n.d.). Whale Optimization Algorithm Bat Chaotic Map Multi Frequency for Finding Optimum Value. In Journal of Applied Intelligent System (Vol. 5, Issue 2).
Wang, G., Guo, S., Han, L., Song, X., & Zhao, Y. (2022). Research on multi-modal autonomous diagnosis algorithm of COVID-19 based on whale optimized support vector machine and improved D-S evidence fusion. Computers in Biology and Medicine, 150. https://doi.org/10.1016/j.compbiomed.2022.106181
Wang, S., Zhou, S., & Yan, W. (2022). An enhanced whale optimization algorithm for DNA storage encoding. Mathematical Biosciences and Engineering, 19(12), 14142–14172. https://doi.org/10.3934/mbe.2022659
Yogita Deepak, S., & Rajabhushanam Professor, C. (2020). Article Algorithm (Gwoa) with 128 Key Size in Cleveland Database. International Journal of Advanced Research in Engineering and Technology (IJARET), 11(11), 410–413. http://iaeme.com/Home/journal/IJARET410editor@iaeme.com
Zhou, R., Liang, Y. fang, Cheng, H. li, Padoan, A., Wang, Z., Feng, X., Han, Z. wen, Song, B., Wang, W., Plebani, M., & Wang, Q. tao. (2022). A multi-model fusion algorithm as a real-time quality control tool for small shift detection. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105866
Zhou, W., Chen, Z., Fang, Z., & Xu, D. (2022). Network analysis for elucidating the mechanisms of Shenfu injection in preventing and treating COVID-19 combined with heart failure. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105845
Ala, A., Alsaadi, F. E., Ahmadi, M., & Mirjalili, S. (2021). Optimization of an appointment scheduling problem for healthcare systems based on the quality of fairness service using whale optimization algorithm and NSGA-II. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-98851-7
Alizada, B. (2020). Issue: 1 Date. In ISVOS JOURNAL) (Vol. 2020, Issue 4).
Al-Khazraji, H. (2022). Comparative Study of Whale Optimization Algorithm and Flower Pollination Algorithm to Solve Workers Assignment Problem. International Journal of Production Management and Engineering, 10(1), 91–98. https://doi.org/10.4995/ijpme.2022.16736
Best Feature Selection using Modified Whale Optimization Algorithm for Prediction of Heart Disease. (2020). International Journal of Innovative Technology and Exploring Engineering, 9(3S), 410–414. https://doi.org/10.35940/ijitee.c1088.0193s20
Chen, B., Zhou, X., Yang, L., Zhou, H., Meng, M., Zhang, L., & Li, J. (2022). A Cuproptosis Activation Scoring model predicts neoplasm-immunity interactions and personalized treatments in glioma. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105924
Chen, L., Liu, D., Yang, J., Jiang, M., Liu, S., & Wang, Y. (2022). Construction and application of COVID-19 infectors activity information knowledge graph. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105908
Chung, J., & Teo, J. (2022). Mental Health Prediction Using Machine Learning: Taxonomy, Applications, and Challenges. In Applied Computational Intelligence and Soft Computing (Vol. 2022). Hindawi Limited. https://doi.org/10.1155/2022/9970363
Diambra, L., Alonso, A. M., Sookoian, S., & Pirola, C. J. (2022). Single cell gene expression profiling of nasal ciliated cells reveals distinctive biological processes related to epigenetic mechanisms in patients with severe COVID-19. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105895
Guo, Y., Li, G., Xu, M., & Peng, B. (2022). A lncRNA signature of tumor-infiltrating macrophages is associated with prognosis and tumor immunity in lung adenocarcinoma. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105655
Gupta, P., Bhagat, S., Saini, D. K., Kumar, A., Alahmadi, M., & Sharma, P. C. (2022). Hybrid Whale Optimization Algorithm for Resource Optimization in Cloud E-Healthcare Applications. Computers, Materials and Continua, 71(2), 5659–5676. https://doi.org/10.32604/cmc.2022.023056
Hajihashemi, V., Hassani, Z., Dehmajnoonie, I., & Borna, K. (2019). Hybrid Algorithms of Whale optimization algorithm and k-nearest neighbor to Predict the liver disease. EAI Endorsed Transactions on Context-Aware Systems and Applications, 6(16), 156838. https://doi.org/10.4108/eai.13-7-2018.156838
Hassanein, W. S., Ahmed, M. M., Mosaad, M. I., & Abu-Siada, A. (2021a). Estimation of transmission line parameters using voltage-current measurements and whale optimization algorithm. Energies, 14(11). https://doi.org/10.3390/en14113239
Hassanein, W. S., Ahmed, M. M., Mosaad, M. I., & Abu-Siada, A. (2021b). Estimation of transmission line parameters using voltage-current measurements and whale optimization algorithm. Energies, 14(11). https://doi.org/10.3390/en14113239
Hosseinabadi, A., Sadeghilalimi, M., Shareh, M., Mouhoub, M., & Sadaoui, S. (2022). Whale Optimization-based Prediction for Medical Diagnostic. 211–217. https://doi.org/10.5220/0010802200003116
Hussien, A. G., Oliva, D., Houssein, E. H., Juan, A. A., & Yu, X. (2020). Binary whale optimization algorithm for dimensionality reduction. Mathematics, 8(10), 1–24. https://doi.org/10.3390/math8101821
Igodan, E. C., Ukaoha, K. C., & Oliomogbe, S. O. P. (2021). TOWARDS GLOBAL OPTIMIZATION OF NEURAL NETWORK: A COMPARATIVE ANALYSIS USING GENETIC AND WHALE OPTIMIZATION ALGORITHMS. Journal of Biomedical Engineering and Medical Imaging, 8(6), 89–101. https://doi.org/10.14738/jbemi.86.11004
International Journal, A., Ciaccio, E. J., Cheng, H., Guido, R. C., Bui, A. A., Elmogy, M. M., Fotiadis, D., Gao, R., Hu, D., Jerusalem, A., Jin, Z., Kleinstreuer, C., Kumar, A., Liu, F., Lucas, P., Mao Primer, Q. A., Francisco, S., Sara Marceglia Politecnico di Milano, U. R., George Matsopoulos, I. K., … Zou, Q. (n.d.). Computers in Biology and Medicine Editor-in-Chief: Associate Editors.
J, R., & K, K. (2017). DIABETES DATA CLASSIFICATION USING WHALE OPTIMIZATION ALGORITHM AND BACKPROPAGATION NEURAL NETWORK. International Research Journal of Pharmacy, 8(11), 219–222. https://doi.org/10.7897/2230-8407.0811242
Jami, E. S., Pritchard, M., Shetty, H., Stewart, R., Young, A. H., & Heslin, M. (2021). Antidepressant and antipsychotic treatment of Psychotic Major Depression in a British mental healthcare setting. Journal of Mental Health. https://doi.org/10.1080/09638237.2021.1922632
Kaya, E., K?l?ç, A., Babao?lu, ?., & Babal?k, A. (2021). Fuzzy Adaptive Whale Optimization Algorithm for Numeric Optimization. Malaysian Journal of Computer Science, 34(2), 184–198. https://doi.org/10.22452/mjcs.vol34no2.4
Khaleel, L. R., & Mitras, B. A. (2020). Hybrid Whale Optimization Algorithm with Modified Conjugate Gradient Method to Solve Global Optimization Problems. OALib, 07(06), 1–18. https://doi.org/10.4236/oalib.1106459
Kshirsagar, P. R., Manaoharan, H., Tirth, V., Islam, S., Srivastava, S., Sahni, V., Thangamani, M., Khanapurkar, M. M., & Sundramurthy, V. P. (2022). Implementation of Whale Optimization for Budding Healthiness of Fishes with Preprocessing Approach. In Journal of Healthcare Engineering (Vol. 2022). Hindawi Limited. https://doi.org/10.1155/2022/2345600
Lawal, B., Kuo, Y. C., Rachmawati Sumitra, M., Wu, A. T. H., & Huang, H. S. (2022). Identification of a novel immune-inflammatory signature of COVID-19 infections, and evaluation of pharmacokinetics and therapeutic potential of RXn-02, a novel small-molecule derivative of quinolone. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105814
Li, H., Zheng, X., Gao, J., Leung, K. S., Wong, M. H., Yang, S., Liu, Y., Dong, M., Bai, H., Ye, X., & Cheng, L. (2022). Whole transcriptome analysis reveals non-coding RNA’s competing endogenous gene pairs as novel form of motifs in serous ovarian cancer. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105881
Li, Y., Han, T., Han, B., Zhao, H., & Wei, Z. (2019). Whale Optimization Algorithm with Chaos Strategy and Weight Factor. Journal of Physics: Conference Series, 1213(3). https://doi.org/10.1088/1742-6596/1213/3/032004
Li, Y., Wang, H., Fan, J., & Geng, Y. (2022). A novel Q-learning algorithm based on improved whale optimization algorithm for path planning. PloS One, 17(12), e0279438. https://doi.org/10.1371/journal.pone.0279438
Mafarja, M. M., & Mirjalili, S. (2017). Hybrid Whale Optimization Algorithm with simulated annealing for feature selection. Neurocomputing, 260, 302–312. https://doi.org/10.1016/j.neucom.2017.04.053
Mahmood, S., Bawany, N. Z., & Tanweer, M. R. (2023). A comprehensive survey of whale optimization algorithm: modifications and classification. Indonesian Journal of Electrical Engineering and Computer Science, 29(2), 899. https://doi.org/10.11591/ijeecs.v29.i2.pp899-910
Mat, A. N., Inan, O., & Karakoyun, M. (2021a). An application of the whale optimization algorithm with Levy flight strategy for clustering of medical datasets. International Journal of Optimization and Control: Theories and Applications, 11(2), 216–226. https://doi.org/10.11121/IJOCTA.01.2021.001091
Mat, A. N., Inan, O., & Karakoyun, M. (2021b). An application of the whale optimization algorithm with Levy flight strategy for clustering of medical datasets. International Journal of Optimization and Control: Theories and Applications, 11(2), 216–226. https://doi.org/10.11121/IJOCTA.01.2021.001091
Mat, A. N., Inan, O., & Karakoyun, M. (2021c). An application of the whale optimization algorithm with Levy flight strategy for clustering of medical datasets. International Journal of Optimization and Control: Theories and Applications, 11(2), 216–226. https://doi.org/10.11121/IJOCTA.01.2021.001091
Mirjalili, S., & Lewis, A. (2016). The Whale Optimization Algorithm. Advances in Engineering Software, 95, 51–67. https://doi.org/10.1016/j.advengsoft.2016.01.008
Mohammed, H. M., Umar, S. U., & Rashid, T. A. (2019a). A Systematic and Meta-Analysis Survey of Whale Optimization Algorithm. In Computational Intelligence and Neuroscience (Vol. 2019). Hindawi Limited. https://doi.org/10.1155/2019/8718571
Mohammed, H. M., Umar, S. U., & Rashid, T. A. (2019b). A Systematic and Meta-Analysis Survey of Whale Optimization Algorithm.
Mohmmadzadeh, H., & Soleimanian Gharehchopogh, F. (2020). A Novel Hybrid Whale Optimization Algorithm with Flower Pollination Algorithm for Feature Selection: Case Study Email Spam Detection. https://doi.org/10.20944/preprints202001.0309.v1
Moreno-Barea, F. J., Franco, L., Elizondo, D., & Grootveld, M. (2022). Application of data augmentation techniques towards metabolomics. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105916
Mostafa Bozorgi, S., & Yazdani, S. (2019a). IWOA: An improved whale optimization algorithm for optimization problems. Journal of Computational Design and Engineering, 6(3), 243–259. https://doi.org/10.1016/j.jcde.2019.02.002
Mostafa Bozorgi, S., & Yazdani, S. (2019b). IWOA: An improved whale optimization algorithm for optimization problems. Journal of Computational Design and Engineering, 6(3), 243–259. https://doi.org/10.1016/j.jcde.2019.02.002
Nadimi-Shahraki, M. H., Taghian, S., Mirjalili, S., Abualigah, L., Elaziz, M. A., & Oliva, D. (2021). Ewoa-opf: Effective whale optimization algorithm to solve optimal power flow problem. Electronics (Switzerland), 10(23). https://doi.org/10.3390/electronics10232975
Nadimi-Shahraki, M. H., Zamani, H., & Mirjalili, S. (2022a). Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105858
Nadimi-Shahraki, M. H., Zamani, H., & Mirjalili, S. (2022b). Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105858
Nathania, Q., Bekti Pratiwi, A., & Suprajitno, & H. (2021). Penyelesaian Container Stowage Problem untuk Kontainer Ukuran 20 Feet menggunakan Whale Optimization Algorithm. In Contemporary Mathematics and Applications (Vol. 3, Issue 2).
Ning, G. Y., & Cao, D. Q. (2021). Improved whale optimization algorithm for solving constrained optimization problems. Discrete Dynamics in Nature and Society, 2021. https://doi.org/10.1155/2021/8832251
Omar, M. F., Bakeri, N. M., Nawi, M. N. M., Hairani, N., & Khalid, K. (2020). Methodology for Modified Whale Optimization Algorithm for Solving Appliances Scheduling Problem. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 76(2), 132–143. https://doi.org/10.37934/arfmts.76.2.132143
Qi, A., Zhao, D., Yu, F., Heidari, A. A., Wu, Z., Cai, Z., Alenezi, F., Mansour, R. F., Chen, H., & Chen, M. (2022). Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105810
Rao, S. U. M., Rao, K. V., & Reddy, P. V. G. D. P. (2022). Medical Big Data Analysis using LSTM based Co-Learning Model with Whale Optimization Approach. International Journal of Intelligent Engineering and Systems, 15(4), 627–636. https://doi.org/10.22266/ijies2022.0831.56
Reddy, P. D. P., Reddy, V. C. V., & Manohar, T. G. (2017). Whale optimization algorithm for optimal sizing of renewable resources for loss reduction in distribution systems. Renewables: Wind, Water, and Solar, 4(1). https://doi.org/10.1186/s40807-017-0040-1
Rochowski, P., & Pontrelli, G. (2022). Mass diffusion in multi-layer systems: an electrical analogue modelling approach. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105774
Rodríguez, A., Cuevas, E., Zaldivar, D., Morales-Castañeda, B., Sarkar, R., & Houssein, E. H. (2022). An agent-based transmission model of COVID-19 for re-opening policy design. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105847
Santhan Kumar, C. H., & Srinivasa Rao, R. (2016). A novel global MPP tracking of photovoltaic system based on whale optimization algorithm. International Journal of Renewable Energy Development, 5(3), 225–232. https://doi.org/10.14710/ijred.5.3.225-232
Sathya, M. (2020). A search space enhanced modified whale optimization algorithm for feature selection in large-scale microarray datasets. Indian Journal of Science and Technology, 13(42), 4396–4406. https://doi.org/10.17485/IJST/v13i42.767
Seyfang, M., Dreyhaupt, J., Wiegreffe, C., Rudolph, H., Luthardt, R. G., & Kuhn, K. (2022). Quantification of MRP8 in immunohistologic sections of peri-implant soft tissue: Development of a novel automated computer analysis method and of its validation procedure. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105861
Singh, A. (2019). Laplacian whale optimization algorithm. International Journal of System Assurance Engineering and Management, 10(4), 713–730. https://doi.org/10.1007/s13198-019-00801-0
Sudha, I., & Nedunchelian, R. (2019). Preserving Healthcare Data In The Cloud Using C-Lion And Whale Optimization Algorithm. INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH, 8(11). www.ijstr.org
Sumathi, P., & Malarvizhi, N. (2022). Whale Optimization Algorithm with Deep Learning-Based Usability Recommendation Model for Medical Mobile. International Journal of Engineering Trends and Technology, 70(5), 251–257. https://doi.org/10.14445/22315381/IJETT-V70I5P227
Sun, W. Z., Wang, J. S., & Wei, X. (2018). An improved whale optimization algorithm based on different searching paths and perceptual disturbance. Symmetry, 10(6). https://doi.org/10.3390/sym10060210
Susman, G. I., & Evered, R. D. (1978). An Assessment of the Scientific Merits of Action Research. In Source: Administrative Science Quarterly (Vol. 23, Issue 4).
Tahsin, A., Ahmed, R., Bhattacharjee, P., Adiba, M., al Saba, A., Yasmin, T., Chakraborty, S., Hasan, A. K. M. M., & Nabi, A. H. M. N. (2022). Most frequently harboured missense variants of hACE2 across different populations exhibit varying patterns of binding interaction with spike glycoproteins of emerging SARS-CoV-2 of different lineages. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105903
Tawhid, M. A., & Ibrahim, A. M. (2020). Feature selection based on rough set approach, wrapper approach, and binary whale optimization algorithm. International Journal of Machine Learning and Cybernetics, 11(3), 573–602. https://doi.org/10.1007/s13042-019-00996-5
Tesis -18.51.1063-Nur Fitrianingsih Hasan-Publish. (n.d.).
Thara, L., & Gunasundari, R. (2018). Whale Optimization Algorithm based Feature Selection with Improved Relevance Vector Machine Classifier for Gastric Cancer Classification. International Journal of Pure and Applied Mathematics, 119(10), 337–348.
Tiwari, V., & Jain, S. C. (n.d.). Histopathological Image Classification using Efficient Bag-of-Features and Whale Optimization Algorithm. https://ssrn.com/abstract=3356718
Uma, S., Rao, M., Rao, V., & Reddy, P. (n.d.). Medical Big Data Analysis using Binary Moth-Flame with Whale Optimization Approach. In IJACSA) International Journal of Advanced Computer Science and Applications (Vol. 13, Issue 8). www.ijacsa.thesai.org
Ustaba? Kaya, G., & Onur, T. Ö. (2022). Genetic algorithm based image reconstruction applying the digital holography process with the Discrete Orthonormal Stockwell Transform technique for diagnosis of COVID-19. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105934
Vaiyapuri, T., & Alaskar, H. (2020). Whale optimization for wavelet-based unsupervised medical image segmentation: Application to ct and mr images. International Journal of Computational Intelligence Systems, 13(1), 941–953. https://doi.org/10.2991/ijcis.d.200625.001
VanBerlo, B., Wu, D., Li, B., Rahman, M. A., Hogg, G., VanBerlo, B., Tschirhart, J., Ford, A., Ho, J., McCauley, J., Wu, B., Deglint, J., Hargun, J., Chaudhary, R., Dave, C., & Arntfield, R. (2022). Accurate assessment of the lung sliding artefact on lung ultrasonography using a deep learning approach. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105953
Wahyu Hidayat, N., & Budiman, F. (n.d.). Whale Optimization Algorithm Bat Chaotic Map Multi Frequency for Finding Optimum Value. In Journal of Applied Intelligent System (Vol. 5, Issue 2).
Wang, G., Guo, S., Han, L., Song, X., & Zhao, Y. (2022). Research on multi-modal autonomous diagnosis algorithm of COVID-19 based on whale optimized support vector machine and improved D-S evidence fusion. Computers in Biology and Medicine, 150. https://doi.org/10.1016/j.compbiomed.2022.106181
Wang, S., Zhou, S., & Yan, W. (2022). An enhanced whale optimization algorithm for DNA storage encoding. Mathematical Biosciences and Engineering, 19(12), 14142–14172. https://doi.org/10.3934/mbe.2022659
Yogita Deepak, S., & Rajabhushanam Professor, C. (2020). Article Algorithm (Gwoa) with 128 Key Size in Cleveland Database. International Journal of Advanced Research in Engineering and Technology (IJARET), 11(11), 410–413. http://iaeme.com/Home/journal/IJARET410editor@iaeme.com
Zhou, R., Liang, Y. fang, Cheng, H. li, Padoan, A., Wang, Z., Feng, X., Han, Z. wen, Song, B., Wang, W., Plebani, M., & Wang, Q. tao. (2022). A multi-model fusion algorithm as a real-time quality control tool for small shift detection. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105866
Zhou, W., Chen, Z., Fang, Z., & Xu, D. (2022). Network analysis for elucidating the mechanisms of Shenfu injection in preventing and treating COVID-19 combined with heart failure. Computers in Biology and Medicine, 148. https://doi.org/10.1016/j.compbiomed.2022.105845
.jpg){kind=logo}
