A decomposition-rotation dominance based evolutionary algorithm with reference point adaption for many-objective optimization

Wei Zhang; Jianchang Liu; Shubin Tan; Honghai Wang

doi:10.1016/j.eswa.2022.119424

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A decomposition-rotation dominance based evolutionary algorithm with reference point adaption for many-objective optimization

Wei Zhang Jianchang Liu Shubin Tan Honghai Wang

Year: 2022 Journal: Expert Systems with Applications Vol: 215 Pages: 119424-119424 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2022.119424

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Keywords:

Evolutionary algorithm Multi-objective optimization Mathematical optimization Computer science Pareto principle Benchmark (surveying) Evolutionary computation Optimization problem Selection (genetic algorithm) Convergence (economics) Mathematics Algorithm Artificial intelligence

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Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Optimal Experimental Design Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

A decomposition-rotation dominance based evolutionary algorithm with reference point adaption for many-objective optimization

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