A Brief Introduction to Continuous Evolutionary Optimization

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This book addresses practical black box optimization challenges, presenting heuristics and algorithms using evolutionary strategies in continuous spaces. It covers evolution strategies, parameter control, and heuristic extensions for constrained and multi-objective problems. It introduces adaptive penalty functions, meta-models, and hybrid methods for efficient optimization, supported by experiments and illustrations.