Computational Intelligence and Optimization: Theory, Algorithms, and Applications provides a comprehensive guide to understanding and applying computational intelligence techniques for solving optimization problems. Through collaboration with leading researchers and practitioners, this book covers topics such as evolutionary computation, swarm intelligence, neural networks, fuzzy systems, genetic algorithms, and more. With theoretical insights, algorithmic developments, and practical examples, readers gain the tools to address complex challenges in diverse domains. Bridging theory and practice, this book empowers readers to leverage computational intelligence to drive innovation and optimize solutions for the complex problems of today and tomorrow.