Multi-Objective Optimization in Computational Intelligence

Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information there are a number of competitive MO techniques with an increasingly large number of MO real-world applications. Multi-Objective Optimization in Computational Intelligence: Theory and Practice explores the theoretical as well as empirical performance of MOs on a wide range of optimization issues including combinatorial real-valued dynamic and noisy problems. This book provides scholars academics and practitioners with a fundamental comprehensive collection of research on multi-objective optimization techniques applications and practices.