Network models are critical tools in business, management, science and industry. This book presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines.

Presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems Includes supplementary material: sn.pub/extras

Autorentext

Professor Mitsuo Gen is currently a professor of the Graduate School of Information, Production and Systems at Waseda University. He previously worked as a lecturer and professor at Ashikaga Institute of Technology. His research interests include genetic and evolutionary computation; fuzzy logic and neural networks; supply chain network design; optimization for information networks; and advanced planning and scheduling (APS).

Runwei Cheng is a Doctor of Engineering and currently works for JANA Solutions, Inc.

Lin Lin is currently a PhD candidate and research assistant at Waseda University, where he gained his MSc from the Graduate School of Information, Production and Systems. His research interests include hybrid genetic algorthims; neural networks; engineering optimization; multiobjective optimization; applications of evolutionary techniques; production and logistics; communication networks; image processing and pattern recognition; and parallel and distributed systems.

Inhalt

Multiobjective Genetic Algorithms.- Basic Network Models.- Logistics Network Models.- Communication Network Models.- Advanced Planning and Scheduling Models.- Project Scheduling Models.- Assembly Line Balancing Models.- Tasks Scheduling Models.- Advanced Network Models.