Designed for graduate courses on Evolutionary Algorithms for Solving Multi-Objective Optimization, with exercises and links to a complete set of teaching material including tutorials
Updated and expanded MOEA exercises, discussion questions and research ideas at the end of each chapter
New Chapter devoted to coevolutionary and memetic MOEAs with added material on solving constrained multi-objective problems
Additional material on the most recent MOEA test functions and performance measures, as well as on the latest developments on the theoretical foundations of MOEAs
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