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Introduction to Evolutionary Computing
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The overall structure of this new edition is three-tier: Part I presents the basics, Part II discusses advanced topics, and Part III is concerned with methodological issues. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, and they added a new chapter on parameter tuning and grouped this with the parameter control and "how-to" chapters into a methodological part.§§The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization.§
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