Multiobjective Optimization Methodology

Deriving engineering designs from multiobjective optimization techniques is a challenging task, particularly when design criteria conflict performance requirements. The first book to focus on jumping genes outside bioscience and medicine, Multiobjective Optimization Methodology: A Jumping Gene Approach introduces jumping gene algorithms designed to supply viable, adequate solutions to multiobjective problems quickly and with low computational cost. Reviewing state-of-the-art multiobjective optimization techniques, it covers the fundamental concept, theoretical justification, simulation verifications, and applications of the jumping gene in evolutionary computation. The book provides the technical know-how to obtain crucial trade-off solutions between convergence and diversity.