R2-HMEWO: Hybrid multi-objective evolutionary algorithm based on the Equilibrium Optimizer and Whale Optimization Algorithm

Multi-objective evolutionary algorithms can be categorized into three basic groups: domination-based, decomposition-based, and indicator-based algorithms. Hybrid multi-objective evolutionary algorithms, which combine algorithms from these groups, are gaining increased popularity in recent years. Thi...

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Veröffentlicht in:	2022 IEEE Congress on Evolutionary Computation (CEC) S. 1 - 8
Hauptverfasser:	Tahernezhad-Javazm, Farajollah, Rankin, Debbie, Coyle, Damien
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 18.07.2022
Schlagworte:	Algorithms Benchmark testing equilibrium optimizer Estimation evolutionary algorithm Evolutionary computation Measurement multi-objective optimization Next generation networking Optimization R2 indicator reference directions shifted density estimation whale optimization algorithm
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