Genetic Algorithms and Fuzzy Multiobjective Optimization

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Genetic algorithms have significantly impacted optimization, adaptation, and learning across various fields since their inception in the 1970s. While many existing resources focus on single-objective optimization under certainty, this book uniquely addresses both fuzzy and multiobjective optimization problems. It aims to provide a comprehensive approach to genetic algorithms, filling a gap in the literature by unifying these methodologies for diverse optimization challenges.