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Evolutionary Constrained Optimization

  • Rituparna Datta
  • Kalyanmoy Deb

Part of the Infosys Science Foundation Series book series (ISFS)

Also part of the Infosys Science Foundation Series in Applied Sciences and Engineering book sub series (ISFSASE)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Helio J. C. Barbosa, Afonso C. C. Lemonge, Heder S. Bernardino
    Pages 1-27
  3. Shayan Poursoltan, Frank Neumann
    Pages 29-50
  4. Richard Allmendinger, Joshua Knowles
    Pages 95-134
  5. Rammohan Mallipeddi, Swagatam Das, Ponnuthurai Nagaratnam Suganthan
    Pages 231-248
  6. Rituparna Datta, Kalyanmoy Deb
    Pages 249-313
  7. Back Matter
    Pages 315-319

About this book

Introduction

This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based methodology; multi-objective based methodology; new constraint handling mechanism; hybrid methodology; scaling issues in constrained optimization; design of scalable test problems; parameter adaptation in constrained optimization; handling of integer, discrete and mix variables in addition to continuous variables; application of constraint handling techniques to real-world problems; and constrained optimization in dynamic environment. There is also a separate chapter on hybrid optimization, which is gaining lots of popularity nowadays due to its capability of bridging the gap between evolutionary and classical optimization. The material in the book is useful to researchers, novice, and experts alike. The book will also be useful for classroom teaching and future research.

Keywords

Computational Intelligence Constrained Optimization Constraint Handling Evolutionary Computation Hybrid Optimization Multi-objective Optimization Penalty Function Soft Computing

Editors and affiliations

  • Rituparna Datta
    • 1
  • Kalyanmoy Deb
    • 2
  1. 1.Dept of Electrical EngineeringKorea Advanced Institute of Sci &TechDaejeonKorea, Republic of (South Korea)
  2. 2.Electrical and Computer EngineeringMichigan State UniversityEast LansingUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-81-322-2184-5
  • Copyright Information Springer India 2015
  • Publisher Name Springer, New Delhi
  • eBook Packages Engineering
  • Print ISBN 978-81-322-2183-8
  • Online ISBN 978-81-322-2184-5
  • Series Print ISSN 2363-6149
  • Series Online ISSN 2363-6157
  • Buy this book on publisher's site