Recent advances in multi-objective whale optimization algorithm, its versions and applications

Multi-objective optimization (MO) addresses problems involving multiple conflicting objectives, requiring effective techniques to identify Pareto optimal solutions. Among the numerous MO approaches, the Multi-Objective Whale Optimization Algorithm (MOWOA) has emerged as a robust metaheuristic inspir...

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Vydané v:	Journal of King Saud University. Computer and information sciences Ročník 37; číslo 7; s. 200 - 38
Hlavní autori:	Makhadmeh, Sharif Naser, Kassaymeh, Sofian, Rjoub, Gaith, Bataineh, Bilal, Sanjalawe, Yousef, Al-Betar, Mohammed Azmi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.09.2025 Springer Nature B.V Springer
Predmet:	Algorithms Bibliometrics Computer Imaging Computer Science Database Management Engineering Heuristic methods Machine Learning Metaheuristics Multi-objective optimization Multi-objective whale optimization algorithm Multiple objective analysis Optimization algorithms Pareto optimization Pareto optimum Pattern Recognition and Graphics Review Paper Robotics Science Software Engineering/Programming and Operating Systems Systems and Data Security Theory of Computation Vision China Metaheuristics Multi-objective optimization Multi-objective whale optimization algorithm
ISSN:	1319-1578, 2213-1248, 1319-1578
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