Titlebook: Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization; Dhish Kumar Saxena,Sukrit Mittal,Erik D. Goodman Book 2024

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https://doi.org/10.1007/978-981-99-2096-9Evolutionary Multi-objective Optimization; Machine Learning; Evolutionary Computation; Convergence; Dive

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Dhish Kumar Saxena,Sukrit Mittal,Erik D. GoodmanDedicated to machine learning based performance enhancements in evolutionary multi- and many objective optimization.Discusses the topics in a clear and structured manner, covering the search, post-opt

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,Learning to Diversify Better: IP3?Operator,It was emphasized earlier that evolutionary multi- and many-objective optimization algorithms, jointly referred to as EMaOAs, pursue the dual goals of convergence to and diversity across the true Pareto front (.). In that, diversity must be interpreted in terms of the extent of . (coverage of .) and . within a given spread.