A comprehensive survey: Whale Optimization Algorithm and its applications
Tóm tắt
Từ khóa
Tài liệu tham khảo
Shayanfar, 2018, Farmland fertility: a new metaheuristic algorithm for solving continuous optimization problems, Appl. Soft Comput., 71, 728, 10.1016/j.asoc.2018.07.033
Elhosseini, 2019, Biped robot stability based on an A–C parametric Whale Optimization Algorithm, Journal of Computational Science, 31, 17, 10.1016/j.jocs.2018.12.005
Miao, 2019, Optimal swarm decomposition with whale optimization algorithm for weak feature extraction from multicomponent modulation signal, Mech. Syst. Signal Process., 122, 673, 10.1016/j.ymssp.2018.12.034
Ghahremani-Nahr, 2019, A robust fuzzy mathematical programming model for the closed-loop supply chain network design and a whale optimization solution algorithm, Expert Syst. Appl., 116, 454, 10.1016/j.eswa.2018.09.027
He, 2019, A parameter-adaptive stochastic resonance based on whale optimization algorithm for weak signal detection for rotating machinery, Measurement, 136, 658, 10.1016/j.measurement.2019.01.017
Yousri, 2019, Chaotic whale optimizer variants for parameters estimation of the chaotic behavior in Permanent Magnet Synchronous Motor, Appl. Soft Comput., 74, 479, 10.1016/j.asoc.2018.10.032
Singh, 2018, Modified Spider Monkey Optimization based on Nelder–Mead method for global optimization, Expert Syst. Appl., 110, 264, 10.1016/j.eswa.2018.05.040
Ingber, 1989, Very fast simulated re-annealing, Math. Comput. Model., 12, 967, 10.1016/0895-7177(89)90202-1
Gandomi, 2014, Chaotic bat algorithm, Journal of Computational Science, 5, 224, 10.1016/j.jocs.2013.10.002
Kallioras, 2018, Pity beetle algorithm – a new metaheuristic inspired by the behavior of bark beetles, Adv. Eng. Software, 121, 147, 10.1016/j.advengsoft.2018.04.007
Arora, 2017, An improved butterfly optimization algorithm with chaos, J. Intell. Fuzzy Syst., 32, 1079, 10.3233/JIFS-16798
Turgut, 2017, Thermal and economical optimization of a shell and tube evaporator using hybrid backtracking search-sine-cosine algorithm, Arabian J. Sci. Eng., 42, 2105, 10.1007/s13369-017-2458-6
Ma, 2019, Multi-population techniques in nature inspired optimization algorithms: a comprehensive survey, Swarm Evol. Comput., 44, 365, 10.1016/j.swevo.2018.04.011
Rizk-Allah, 2018, Hybridizing sine cosine algorithm with multi-orthogonal search strategy for engineering design problems, Journal of Computational Design and Engineering, 5, 249, 10.1016/j.jcde.2017.08.002
Tian, 2018, MPSO: modified particle swarm optimization and its applications, Swarm and Evolutionary Computation, 41, 49, 10.1016/j.swevo.2018.01.011
Boussaid, 2013, A survey on optimization metaheuristics, Inf. Sci., 237, 82, 10.1016/j.ins.2013.02.041
Jackson, 2018, Move acceptance in local search metaheuristics for cross-domain search, Expert Syst. Appl., 109, 131, 10.1016/j.eswa.2018.05.006
Dhiman, 2018, Emperor penguin optimizer: a bio-inspired algorithm for engineering problems, Knowl. Base Syst., 159, 20, 10.1016/j.knosys.2018.06.001
Holland, 1975
Bhattacharya, 2010, Solving complex economic load dispatch problems using biogeography-based optimization, Expert Syst. Appl., 37, 3605, 10.1016/j.eswa.2009.10.031
Kaveh, 2012, A new meta-heuristic method: Ray Optimization, Comput. Struct., 112–113, 283, 10.1016/j.compstruc.2012.09.003
Abedinpourshotorban, 2016, Electromagnetic field optimization: a physics-inspired metaheuristic optimization algorithm, Swarm and Evolutionary Computation, 26, 8, 10.1016/j.swevo.2015.07.002
Yin, 2011, A novel hybrid K-harmonic means and gravitational search algorithm approach for clustering, Expert Syst. Appl., 38, 9319, 10.1016/j.eswa.2011.01.018
Pacini, 2014, Distributed job scheduling based on Swarm Intelligence: a survey, Comput. Electr. Eng., 40, 252, 10.1016/j.compeleceng.2013.11.023
Tian, 2018, MPSO: modified particle swarm optimization and its applications, Swarm and Evolutionary Computation, 41, 49, 10.1016/j.swevo.2018.01.011
Kennedy, 1995, Particle swarm optimization, 1942
Karaboga, 2005
Yang, 2008
Fausto, 2017, A global optimization algorithm inspired in the behavior of selfish herds, Biosystems, 160, 39, 10.1016/j.biosystems.2017.07.010
Hasançebi, 2013, A bat-inspired algorithm for structural optimization, Comput. Struct., 128, 77, 10.1016/j.compstruc.2013.07.006
Gandomi, 2013, 335
Chu, 2006, 854
Mirjalili, 2014, Andrew lewis, grey wolf optimizer, Adv. Eng. Software, 69, 46, 10.1016/j.advengsoft.2013.12.007
Mirjalili, 2015, The ant lion optimizer, Adv. Eng. Software, 83, 80, 10.1016/j.advengsoft.2015.01.010
Qi, 2017, A new meta-heuristic butterfly-inspired algorithm, Journal of Computational Science, 23, 226, 10.1016/j.jocs.2017.06.003
Li, 2016, A novel nature-inspired algorithm for optimization: Virus colony search, Adv. Eng. Software, 92, 65, 10.1016/j.advengsoft.2015.11.004
Jain, 2019, A novel nature-inspired algorithm for optimization: Squirrel search algorithm, Swarm Evol. Comput., 44, 148, 10.1016/j.swevo.2018.02.013
Zheng, 2015, Water wave optimization: a new nature-inspired metaheuristic, Comput. Oper. Res., 55, 1, 10.1016/j.cor.2014.10.008
Nakarajan, 2016, Galactic Swarm Optimization: a new global optimization metaheuristic inspired by galactic motion, Appl. Soft Comput., 38, 771, 10.1016/j.asoc.2015.10.034
Dogan, 2015, A new metaheuristic for numerical function optimization: Vortex Search algorithm, Inf. Sci., 293, 125, 10.1016/j.ins.2014.08.053
Askarzadeh, 2016, A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm, Comput. Struct., 169, 1, 10.1016/j.compstruc.2016.03.001
Mirjalili, 2016, The whale optimization algorithm, Adv. Eng. Software, 95, 51, 10.1016/j.advengsoft.2016.01.008
Hof, 2007, Structure of the cerebral cortex of the humpback whale, Megaptera novaeangliae (Cetacea, Mysticeti, Balaenopteridae), Anat. Rec., 290, 1, 10.1002/ar.20407
Watkins, 1979, Aerial observation of feeding behavior in four baleen whales: Eubalaena glacialis, Balaenoptera borealis, Megaptera novaeangliae, and Balaenoptera physalus, J. Mammal., 155, 10.2307/1379766
Goldbogen, 2013, Integrative approaches to the study of baleen whale diving behavior, feeding performance, and foraging ecology, Bioscience, 63, 90, 10.1525/bio.2013.63.2.5
Senkerik, 2018, 177
Fister, 2015, 3
Laskar, 2018, HWPSO: a new hybrid whale-particle swarm optimization algorithm and its application in electronic design optimization problems, Appl. Intell., 1
Trivedi, 2018, A novel hybrid PSO-WOA algorithm for global numerical functions optimization, Advances in Computer and Computational Sciences, 554, 53, 10.1007/978-981-10-3773-3_6
Basset, 2018, A hybrid whale optimization algorithm based on local search strategy for the permutation flow shop scheduling problem, Future Gener. Comput. Syst., 85, 129, 10.1016/j.future.2018.03.020
Singh, 2018, A new hybrid whale optimizer algorithm with mean strategy of grey wolf optimizer for global optimization, Math. Comput. Appl., 1
Kaveha, 2018, vol. 25, 1094
Kaveh, 2014, Colliding bodies optimization: a novel meta-heuristic method, Comput. Struct., 139, 18, 10.1016/j.compstruc.2014.04.005
Xu, 2018, A novel memetic whale optimization algorithm for optimization, vol. 10941, 384
Mafarja, 2017, Hybrid Whale Optimization Algorithm with simulated annealing for feature selection, Neurocomputing, 260, 302, 10.1016/j.neucom.2017.04.053
El Aziz, 2017, Whale optimization algorithm and moth-flame optimization for multilevel thresholding image segmentation, Expert Syst. Appl., 83, 242, 10.1016/j.eswa.2017.04.023
Mirjalili, 2015, Moth-flame optimization algorithm: a novel nature-inspired heuristic paradigm, Knowl. Base Syst., 89, 228, 10.1016/j.knosys.2015.07.006
Jadhav, 2018, WGC: hybridization of exponential grey wolf optimizer with whale optimization for data clustering, Alexandria Eng. J., 57, 1569, 10.1016/j.aej.2017.04.013
Mohamed, 2017, Accurate economic dispatch solution using hybrid whale-wolf optimization method, 922
Bentouati, 2016, A hybrid whale algorithm and pattern search technique for optimal power flow problem, 1048
Khalilpourazari, 2018, SCWOA: an efficient hybrid algorithm for parameter optimization of multi-pass milling process, Journal of Industrial and Production Engineering, 1
Mirjalili, 2016, SCA: a Sine Cosine Algorithm for solving optimization problems, Knowl. Base Syst., 96, 120, 10.1016/j.knosys.2015.12.022
Revathi, 2018, Brain storm-based Whale Optimization Algorithm for privacyprotected data publishing in cloud computing, Clust. Comput., 110
Shi, 2011, Brain storm optimization algorithm, vol. 6728, 303
Villarrubia, 2018, Artificial neural networks used in optimization problems, Neurocomputing, 272, 10, 10.1016/j.neucom.2017.04.075
Virupakshappa, 2018, Computer-aided diagnosis applied to MRI images of brain tumor using cognition based modified level set and optimized ANN classifier, Multimed. Tool. Appl., 1
Parambanchary, 2018, WOA-NN: a decision algorithm for vertical handover in heterogeneous networks, Wireless Network, 1
Rajeshkumar, 2017, Diabetes data classification using whale optimization algorithm and backpropagation neural network, Int. Res. J. Pharm., 8, 219, 10.7897/2230-8407.0811242
Aljarah, 2016, Optimizing connection weights in neural networks using the whale optimization algorithm, Soft Computing, 22, 1
Ghaddar, 2018, High dimensional data classification and feature selection using support vector machines, Eur. J. Oper. Res., 265, 993, 10.1016/j.ejor.2017.08.040
Karlekar, 2018, OW-SVM: ontology and whale optimization-based support vector machine for privacy-preserved medical data classification in cloud, Int. J. Commun. Syst., 31, 10.1002/dac.3700
Al-Zoubi, 2018, Evolving Support Vector Machines using Whale Optimization Algorithm for spam profiles detection on online social networks in different lingual contexts, Knowl. Base Syst., 153, 91, 10.1016/j.knosys.2018.04.025
Tharwat, 2017, Classification of toxicity effects of biotransformed hepatic drugs using whale optimized support vector machines, J. Biomed. Inform., 68, 132, 10.1016/j.jbi.2017.03.002
Saidala, 2017, Bubble-net hunting strategy of whales based optimized feature selection for e-mail classification, 626
Hancer, 2018, Differential evolution for filter feature selection based on information theory and feature ranking, Knowl. Base Syst., 140, 103, 10.1016/j.knosys.2017.10.028
Ghimatgar, 2018, An improved feature selection algorithm based on graph clustering and ant colony optimization, Knowl. Base Syst., 159, 270, 10.1016/j.knosys.2018.06.025
Panwar, 2018, Binary Grey Wolf Optimizer for large scale unit commitment problem, Swarm and Evolutionary Computation, 38, 251, 10.1016/j.swevo.2017.08.002
Wu, 2017, Analysis and comparison for the unit commitment problem in a large-scale power system by using three meta-heuristic algorithms, Energy Procedia, 141, 423, 10.1016/j.egypro.2017.11.054
He, 2018, Group theory-based optimization algorithm for solving knapsack problems, Knowl. Base Syst., 10.1016/j.knosys.2018.07.045
Ulker, 2017, Migrating birds optimization (MBO) algorithm to solve knapsack problem, Procedia Computer Science, 111, 71, 10.1016/j.procs.2017.06.012
Hussien, 2019, S-shaped binary whale optimization algorithm for feature selection, Recent Trends in Signal and Image Processing, 727, 79, 10.1007/978-981-10-8863-6_9
Reddy K, 2018, 1
Eid, 2018, Binary whale optimisation: an effective swarm algorithm for feature selection, Int. J. Metaheuristics (IJMHeur), 7
Hussien, 2017, A binary whale optimization algorithm with hyperbolic tangent fitness function for feature selection, 166
Zamani, 2016, Feature selection based on whale optimization algorithm for diseases diagnosis, Int. J. Comput. Sci. Inf. Secur., 14, 1243
Kaur, 2018, Chaotic whale optimization algorithm, Journal of Computational Design and Engineering, 5, 275, 10.1016/j.jcde.2017.12.006
Yuan, 2018, Sidelobe suppression with constraint for MIMO radar via chaotic whale optimisation, Electron. Lett., 54, 311, 10.1049/el.2017.4286
Sayed, 2018, A new chaotic whale optimization algorithm for features selection, J. Classif., 1
Oliva, 2017, Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm, Appl. Energy, 200, 141, 10.1016/j.apenergy.2017.05.029
Prasad, 2017, 311
Prasad, 2017, Application of chaotic whale optimisation algorithm for transient stability constrained optimal power flow, IET Sci. Meas. Technol., 11, 1002, 10.1049/iet-smt.2017.0015
Sun, 2017, Elman neural network soft-sensor model of conversion velocity in polymerization process optimized by chaos whale optimization algorithm, IEEE Access, 5, 13062, 10.1109/ACCESS.2017.2723610
Sivalingam, 2018, A modified whale optimization algorithm based adaptive fuzzy logic PID controller for load frequency control of autonomous power generation systems, Journal for Control, Measurement, Electronics, Computing and Communications, 410
Emmanuel, 2018, 1
Patil, 2018, 1
Harikarthik, 2017, Optimal test suite selection in regression testing with testcase prioritization using modified Ann and Whale optimization algorithm, Clust. Comput., 1
Hassanien, 2016, Historic handwritten manuscript binarisation using whale optimisation, 3842
Yang, 2009, Cuckoo search via levy flights, 210
Kamaruzaman, 2013, Levy flight algorithm for optimization problems-A literature review, Appl. Mech. Mater., 421, 496, 10.4028/www.scientific.net/AMM.421.496
Ling, 2017, Levy flight trajectory-based whale optimization algorithm for global optimization, IEEE Access, 5, 6168, 10.1109/ACCESS.2017.2695498
Sun, 2018, A modified whale optimization algorithm for large-scale global optimization problems, Expert Syst. Appl., 114, 563, 10.1016/j.eswa.2018.08.027
Abdel-Basset, 2018, An improved Levy based whale optimization algorithm for bandwidth-efficient virtual machine placement in cloud computing environment, Clust. Comput., 1
Abdel-Basset, 2017, A modified nature inspired meta-heuristic whale optimization algorithm for solving 0–1 knapsack problem, International Journal of Machine Learning and Cybernetics, 1
Lin, 2018, An adaptive immune-inspired multi-objective algorithm with multiple differential evolution strategies, Inf. Sci., 430–431, 46, 10.1016/j.ins.2017.11.030
Dhiman, 2015, Multi-objective spotted hyena optimizer: a Multi-objective optimization algorithm for engineering problems, Knowl. Base Syst., 150, 175, 10.1016/j.knosys.2018.03.011
Deb, 2012, 1
Deb, 2002, A fast and elitist multi-objective genetic algorithm: nsga-ii, IEEE Trans. Evol. Comput., 6, 182, 10.1109/4235.996017
Coello Coello, 2002, A proposal for multiple objective particle swarm optimization, vol. 02, 1051
Zhang, 2007, MOEA/D: a multi-objective evolutionary algorithm based on decomposition, IEEE Trans. Evol. Comput., 11, 712, 10.1109/TEVC.2007.892759
Angus, 2009, Multiple objective ant colony optimisation, Swarm Intelligence, 3, 69, 10.1007/s11721-008-0022-4
Aziz, 2018, Multi-objective whale optimization algorithm for content-based image retrieval, Multimed. Tool. Appl., 1
Aziz, 2018, vol. 730, 23
Wang, 2017, A novel hybrid system based on a new proposed algorithm-Multi-Objective Whale Optimization Algorithm for wind speed forecasting, Appl. Energy, 208, 344, 10.1016/j.apenergy.2017.10.031
Kumawat, 2017, Multi-objective whale optimization, 2747
Tizhoosh, 2005, Opposition-based learning: a new scheme for machine intelligence, vol. 1, 695
Elaziz, 2018, Parameter estimation of solar cells diode models by an improved opposition-based whale optimization algorithm, Energy Convers. Manag., 171, 1843, 10.1016/j.enconman.2018.05.062
Alamri, 2018, Opposition-based whale optimization algorithm, Advanced Science Letters, Advanced Science Letters, 24, 7461, 10.1166/asl.2018.12959
Nalcaci, 2018, Selective harmonic elimination for three-phase voltage source inverters using whale optimizer algorithm, 1
Mohamed, 2018, Economic dispatch using stochastic whale optimization algorithm, 19
Xiong, 2018, Parameter extraction of solar photovoltaic models using an improved whale optimization algorithm, Energy Convers. Manag., 174, 388, 10.1016/j.enconman.2018.08.053
Hasanien, 2018, Performance improvement of photovoltaic power systems using an optimal control strategy based on whale optimization algorithm, Electr. Power Syst. Res., 157, 168, 10.1016/j.epsr.2017.12.019
Mahdad, 2018, Improvement optimal power flow solution under loading margin stability using new partitioning whale algorithm, Int. J. Manag. Sci. Eng. Manag., 1
Kumawat, 2018, Positioning LED panel for uniform illuminance in indoor VLC system using whale optimization, Optical and Wireless Technologies, 472, 131, 10.1007/978-981-10-7395-3_14
Kumar, 2018, Whale optimization algorithm for constrained economic load dispatch problems-A cost optimization, Ambient Communications and Computer Systems, 696, 353, 10.1007/978-981-10-7386-1_31
Das, 2017, Fixed head short-term hydrothermal scheduling using whale optimization algorithm considering the uncertainty of solar power, 179
Elazab1, 2017, Whale optimisation algorithm for photovoltaic model identification, 1906
Qazi, 2017, An optimal current controller for photovoltaic system based three phase grid using whales optimization algorithm, 15
Rosyadi, 2017, Optimal filter placement and sizing in radial distribution system using whale optimization algorithm, 87
Neagu, 2017, Voltage profile improvement in distribution networks using the whale optimization algorithm, 1
Saha, 2017, 3318
Marimuthu, 2017, Optimal allocation and sizing of DG in a radial distribution system using whale optimization algorithm, 1
Sahu, 2018, Power system stability enhancement by fractional order multi input SSSC based controller employing whale optimization algorithm, J. Elec. Syst. Inf. Technol., 5, 326, 10.1016/j.jesit.2018.02.008
Raj, 2017, Optimal placement of TCSC and SVC for reactive power planning using Whale optimization algorithm, Swarm and Evolutionary Computation, 40, 131, 10.1016/j.swevo.2017.12.008
Medani, 2017, Whale optimization algorithm based optimal reactive power dispatch: a case study of the Algerian power system, Electr. Power Syst. Res., 163, 696, 10.1016/j.epsr.2017.09.001
Reddy, 2017, Optimal renewable resources placement in distribution networks by combined power loss index and whale optimization algorithms, Journal of Electrical Systems and Information Technology, 5, 175
Heris, 2017, Combined heat and power economic dispatch problem solution by implementation of whale optimization method, Neural Comput. Appl., 1
Reddy, 2017, Whale optimization algorithm for optimal sizing of renewable resources for loss reduction in distribution systems, Renew. Wind Water Solar, 4, 1
Trivedi, 2016, An emission constraint environment dispatch problem solution with microgrid using Whale Optimization Algorithm, 1
Trivedi, 2016, Price penalty factors based approach for emission constrained economic dispatch problem solution using whale optimization algorithm, 1
Prakash, 2016, Optimal siting of capacitors in radial distribution network using Whale Optimization Algorithm, Alexandria Engineering Journal, 56, 499, 10.1016/j.aej.2016.10.002
Moodi, 2018, Using Response Surface Methodology and providing a modified model using whale algorithm for estimating the compressive strength of columns confined with FRP sheets, Constr. Build. Mater., 183, 163, 10.1016/j.conbuildmat.2018.06.081
Kaveh, 2017, 47
Kaveh, 2016, 1
Rohani, 2016, 2938
Soliman, 2018, A hybrid whale optimization algorithm with adaptive spiral for terrorism prediction (the case of Egypt), European Journal of Scientific Research, European Journal of Scientific Research, 149, 165
Mafarja, 2018, Whale optimization approaches for wrapper feature selection, Appl. Soft Comput., 62, 441, 10.1016/j.asoc.2017.11.006
Sayed, 2017, Breast cancer diagnosis approach based on meta-heuristic optimization algorithm inspired by the bubble-net hunting strategy of whales, vol. 536, 306
Saidala, 2017, Bubble-net hunting strategy of whales based optimized feature selection for e-mail classification, 626
Sharawi, 2017, Feature selection approach based on whale optimization algorithm, 163
Arslan, 2018, Data clustering based on FCM and WOA, 1
Canayaz, 2017, Data clustering based on the whale optimization, Middle East Journal of Technic, 2, 178, 10.23884/MEJT.2017.2.2.04
Reddy, 2017, Implementing self adaptiveness in whale optimization for cluster head section in Internet of Things, Clust. Comput., 1
Nasiri, 2017, A whale optimization algorithm (WOA) approach for clustering, Journal of Cogent Mathematics & Statistics, 5, 1
Mostafa, 2017, Liver segmentation in MRI images based on whale optimization algorithm, Multimed. Tool. Appl., 76, 24931, 10.1007/s11042-017-4638-5
Hassan, 2017, Retinal fundus vasculature multilevel segmentation using whale optimization algorithm, Signal, Image and Video Processing, 12, 263, 10.1007/s11760-017-1154-z
Mousavirad, 2017, Multilevel image thresholding using entropy of histogram and recently developed population-based metaheuristic algorithms, Evolutionary Intelligence, 10, 45, 10.1007/s12065-017-0152-y
Algabalawy, 2018, Considerations on optimal design of hybrid power generation systems using whale and sine cosine optimization algorithms, J. Elect. Syst. Inf. Technol., 5, 312, 10.1016/j.jesit.2018.03.004
Srivastava, 2018, Parameter estimation of a permanent magnet synchronous motor using whale optimization algorithm, 1
Hasanien, 2017, Whale optimisation algorithm for automatic generation control of interconnected modern power systems including renewable energy sources, IET Gener., Transm. Distrib., 12, 607, 10.1049/iet-gtd.2017.1005
Ahmed, 2017, Comparison between genetic algorithm and whale optimization algorithm in fault location estimation in power systems, 631
Zhang, 2018, Bearing fault diagnosis using a whale optimization algorithm-optimized orthogonal matching pursuit with a combined time–frequency atom dictionary, Mech. Syst. Signal Process., 107, 29, 10.1016/j.ymssp.2018.01.027
Mehne, 2018, A parallel numerical method for solving optimal control problems based on whale optimization algorithm, Knowl. Base Syst., 151, 114, 10.1016/j.knosys.2018.03.024
Ruiye, 2018, Order whale optimization algorithm in rendezvous orbit design, 97
Huang, 2017, Aero-engine performance optimization based on whale optimization algorithm, 11437
Dao, 2016, A multi-objective optimal mobile robot path planning based on whale optimization algorithm, 337
Ahmed1, 2018, 724
Horng, 2017, 371
Jadhav, 2017, Whale optimization based energy-efficient cluster head selection algorithm for wireless sensor networks, Neural and Evolutionary Computing, 1
Khalilpourazari, 2018, Robust possibilistic programming for multi-item EOQ model with defective supply batches: whale Optimization and Water Cycle Algorithms, Neural Comput. Appl., 1
Reddy, 2018, Multi objective task scheduling algorithm for cloud computing using whale optimization technique, vol. 827, 286
Sreenu, 2017, W-Scheduler: whale optimization for task scheduling in cloud computing, Clust. Comput., 1
Sharma, 2017, Energy-aware whale-optimized task scheduler in cloud computing, 121
Fu, 2017, Whale optimization algorithm for flexible flow shop scheduling with setup times, 157
Zhang, 2018, Linear unequally spaced array synthesis for sidelobe suppression with different aperture constraints using whale optimization algorithm, 69
Abdel-Basset, 2018, A novel whale optimization algorithm for cryptanalysis in merkle-hellman cryptosystem, Mobile Network. Appl., 23, 723, 10.1007/s11036-018-1005-3
Alzaqebah, 2018, Whale optimization algorithm for requirements prioritization, 84
Saidala, 2018, Improved whale optimization algorithm case study: clinical data of anaemic pregnant woman, Data Engineering and Intelligent Computing, 271, 10.1007/978-981-10-3223-3_25
Sarkar, 2017, Offset voltage minimization based circuit sizing of CMOS operational amplifier using whale optimization algorithm, J. Inf. Optim. Sci., 1
Zeng, 2017, Whale swarm algorithm for function optimization, 624
Merzi, 2017, Chemical concentration map building using whale optimization algorithm, 1
Barham, 2017, Link prediction based on whale optimization algorithm, 55
Mukherjee, 2017, 1
Trivedi, 2016, Vol 9, 1
Wozniak, 2016, On manipulation of initial population search space in heuristic algorithm through the use of parallel processing approach, 1
Hu, 2016, A whale optimization algorithm with inertia weight, WSEAS Trans. Comput., 15, 319
Opara, 2019, Differential Evolution: a survey of theoretical analyses, Swarm and Evolutionary Computation, 44, 546, 10.1016/j.swevo.2018.06.010
Das, 2016, Recent advances in differential evolution – an updated survey, Swarm and Evolutionary Computation, 27, 1, 10.1016/j.swevo.2016.01.004
Piotrowski, 2017, Review of differential evolution population size, Swarm and Evolutionary Computation, 33, 1, 10.1016/j.swevo.2016.05.003
Liu, 2019, An adaptive framework to tune the coordinate systems in nature-inspired optimization algorithms, IEEE Transactions on Cybernetics, 49, 1403, 10.1109/TCYB.2018.2802912
Mavrovouniotis, 2017, A survey of swarm intelligence for dynamic optimization: algorithms and applications, Swarm and Evolutionary Computation, 33, 1, 10.1016/j.swevo.2016.12.005
Lynn, 2018, Population topologies for particle swarm optimization and differential evolution, Swarm and Evolutionary Computation, 39, 24, 10.1016/j.swevo.2017.11.002
Jin, 2011, Surrogate-assisted evolutionary computation: recent advances and future challenges, Swarm and Evolutionary Computation, 1, 61, 10.1016/j.swevo.2011.05.001
Hancer, 2017, A comprehensive survey of traditional, merge-split and evolutionary approaches proposed for determination of cluster number, Swarm and Evolutionary Computation, 32, 49, 10.1016/j.swevo.2016.06.004
Malhotra, 2017, On the application of search-based techniques for software engineering predictive modeling: a systematic review and future directions, Swarm and Evolutionary Computation, 32, 85, 10.1016/j.swevo.2016.10.002
Qu, 2018, A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems, Swarm and Evolutionary Computation, 38, 1, 10.1016/j.swevo.2017.06.002
Zhou, 2011, Multiobjective evolutionary algorithms: a survey of the state-of-the-art, Swarm and Evolutionary Computation, 1, 32, 10.1016/j.swevo.2011.03.001
Mahdavi, 2018, Opposition based learning: a literature review, Swarm and Evolutionary Computation, 39, 1, 10.1016/j.swevo.2017.09.010
Rakshit, 2017, Noisy evolutionary optimization algorithms-A comprehensive survey, Swarm and Evolutionary Computation, 33, 18, 10.1016/j.swevo.2016.09.002
Gotmare, 2017, Swarm and evolutionary computing algorithms for system identification and filter design: a comprehensive review, Swarm and Evolutionary Computation, 32, 68, 10.1016/j.swevo.2016.06.007