This book focuses on machine learning (ML) assisted evolutionary multi- and many-objective optimization (EM O). EM O algorithms, namely EM OAs, iteratively evolve a set of solutions towards a good Pareto Front approximation. The availability of multiple solution sets over successive generations makes EM OAs amenable to application of ML for different pursuits.
Recognizing the immense potential for ML-based enhancements in the EM O domain, this...
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Computers Computers & Technology Engineering Math Mathematics Science & Math Technology