Multiobjective Optimization Methodology: A Jumping Gene Approach

ISBN-13: 9781138072558 / Angielski / Miękka / 2018 / 279 str.

Tang, K.S. (City University of Hong Kong, China)|||Chan, T.M. (City University of Hong Kong, China)|||Yin, R.J. (City Un

Opis

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.

Spis treści

Introduction. Overview of Multiobjective Optimization. Jumping Gene Computational Approach. Theoretical Analysis of JG. Performance Measures on JG. Radio-To-Fiber Repeater Placement in Wireless Local Loop Systems. Resource Management in WCDMA. Base Station Placement in WLANs. Conclusions.