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Network Models and Optimization

Multiobjective Genetic Algorithm Approach

  • Mitsuo Gen
  • Runwei Cheng
  • Lin Lin

Part of the Decision Engineering book series (DECENGIN)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Pages 49-134
  3. Pages 135-228
  4. Pages 551-606
  5. Pages 607-685
  6. Back Matter
    Pages 687-692

About this book

Introduction

Network models are critical tools in business, management, science and industry. Network Models and Optimization: Multiobjective Genetic Algorithm Approach presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering, computer science, operations research, transportation, telecommunication, and manufacturing.

Network Models and Optimization: Multiobjective Genetic Algorithm Approach extensively covers algorithms and applications, including shortest path problems, minimum cost flow problems, maximum flow problems, minimum spanning tree problems, travelling salesman and postman problems, location-allocation problems, project scheduling problems, multistage-based scheduling problems, logistics network problems, communication network problem, and network models in assembly line balancing problems, and airline fleet assignment problems.

Network Models and Optimization: Multiobjective Genetic Algorithm Approach can be used both as a student textbook and as a professional reference for practitioners in many disciplines who use network optimization methods to model and solve problems.

Keywords

Genetic Algorithms Logistics Models Manufacturing Network Models Optimization Scheduling Models algorithms logistics operations research scheduling

Authors and affiliations

  • Mitsuo Gen
    • 1
  • Runwei Cheng
    • 2
  • Lin Lin
    • 1
  1. 1.Graduate School of Information, Production and Systems (IPS)Waseda UniversityFukukuokaJapan
  2. 2.JANA Solutions, Inc.TokyoJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84800-181-7
  • Copyright Information Springer-Verlag 2008
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-84800-180-0
  • Online ISBN 978-1-84800-181-7
  • Series Print ISSN 1619-5736
  • Buy this book on publisher's site