Network Models and Optimization: Multiobjective Genetic Algorithm Approach
Author:   Mitsuo Gen ,  Runwei Cheng ,  Lin Lin
Publisher:   Springer London Ltd
Edition:   Softcover reprint of hardcover 1st ed. 2008
ISBN:  

9781849967464


Pages:   692
Publication Date:   22 October 2010
Format:   Paperback
Availability:   In Print   Availability explained
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Network Models and Optimization: Multiobjective Genetic Algorithm Approach


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Author:   Mitsuo Gen ,  Runwei Cheng ,  Lin Lin
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   Softcover reprint of hardcover 1st ed. 2008
Dimensions:   Width: 15.50cm , Height: 3.50cm , Length: 23.50cm
Weight:   1.068kg
ISBN:  

9781849967464


ISBN 10:   1849967466
Pages:   692
Publication Date:   22 October 2010
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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.

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Author Information

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.

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