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Computational Intelligence for Optimization

  • Nirwan Ansari
  • Edwin Hou

Table of contents

  1. Front Matter
    Pages i-xii
  2. Nirwan Ansari, Edwin Hou
    Pages 1-10
  3. Nirwan Ansari, Edwin Hou
    Pages 11-25
  4. Nirwan Ansari, Edwin Hou
    Pages 27-45
  5. Nirwan Ansari, Edwin Hou
    Pages 47-69
  6. Nirwan Ansari, Edwin Hou
    Pages 71-81
  7. Nirwan Ansari, Edwin Hou
    Pages 83-97
  8. Nirwan Ansari, Edwin Hou
    Pages 99-125
  9. Nirwan Ansari, Edwin Hou
    Pages 127-148
  10. Nirwan Ansari, Edwin Hou
    Pages 149-166
  11. Nirwan Ansari, Edwin Hou
    Pages 167-188
  12. Nirwan Ansari, Edwin Hou
    Pages 189-201
  13. Back Matter
    Pages 203-225

About this book

Introduction

The field of optimization is interdisciplinary in nature, and has been making a significant impact on many disciplines. As a result, it is an indispensable tool for many practitioners in various fields. Conventional optimization techniques have been well established and widely published in many excellent textbooks. However, there are new techniques, such as neural networks, simulated anneal­ ing, stochastic machines, mean field theory, and genetic algorithms, which have been proven to be effective in solving global optimization problems. This book is intended to provide a technical description on the state-of-the-art development in advanced optimization techniques, specifically heuristic search, neural networks, simulated annealing, stochastic machines, mean field theory, and genetic algorithms, with emphasis on mathematical theory, implementa­ tion, and practical applications. The text is suitable for a first-year graduate course in electrical and computer engineering, computer science, and opera­ tional research programs. It may also be used as a reference for practicing engineers, scientists, operational researchers, and other specialists. This book is an outgrowth of a couple of special topic courses that we have been teaching for the past five years. In addition, it includes many results from our inter­ disciplinary research on the topic. The aforementioned advanced optimization techniques have received increasing attention over the last decade, but relatively few books have been produced.

Keywords

Pattern Matching algorithms communication computational intelligence genetic algorithm genetic algorithms intelligence neural network optimization

Authors and affiliations

  • Nirwan Ansari
    • 1
  • Edwin Hou
    • 1
  1. 1.Department of Electrical and Computer EngineeringNew Jersey Institute of TechnologyNewarkUSA

Bibliographic information

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