Evolutionary Optimization

1. Front Matter

   Pages i-xiv

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2. Introduction

   1. Front Matter

      Pages 1-1

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   2. Conventional Optimization Techniques

      • Mark S. Hillier, Frederick S. Hillier

      Pages 3-25

   3. Evolutionary Computation

      • Xin Yao

      Pages 27-53

3. Single Objective Optimization

   1. Front Matter

      Pages 55-55

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   2. Evolutionary Algorithms and Constrained Optimization

      • Zbigniew Michalewicz, Martin Schmidt

      Pages 57-86

   3. Constrained Evolutionary Optimization

      • Thomas Runarsson, Xin Yao

      Pages 87-113

4. Multi-Objective Optimization

   1. Front Matter

      Pages 115-115

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   2. Evolutionary Multi-Objective Optimization: A Critical Review

      • Carlos A. Coello Coello

      Pages 117-146

   3. Multi-Objective Evolutionary Algorithms for Engineering Shape Design

      • Kalyanmoy Deb, Tushar Goel

      Pages 147-175

   4. Assessment Methodologies for Multiobjective Evolutionary Algorithms

      • Ruhul Sarker, Carlos A. Coello Coello

      Pages 177-195

5. Hybrid Algorithms

   1. Front Matter

      Pages 197-197

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   2. Utilizing Hybrid Genetic Algorithms

      • Jeffrey A. Joines, Michael G. Kay

      Pages 199-228

   3. Using Evolutionary Algorithms to Solve Problems by Combining Choices of Heuristics

      • Peter Ross, Emma Hart

      Pages 229-252

   4. Constrained Genetic Algorithms and Their Applications in Nonlinear Constrained Optimization

      • Benjamin W. Wah, Yi-Xin Chen

      Pages 253-275

6. Parameter Selection in EAs

   1. Front Matter

      Pages 277-277

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   2. Parameter Selection

      • Zbigniew Michalewicz, Ágoston E. Eiben, Robert Hinterding

      Pages 279-306

7. Application of EAs to Practical Problems

   1. Front Matter

      Pages 307-307

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   2. Design of Production Facilities Using Evolutionary Computing

      • Alice E. Smith, Bryan A. Norman

      Pages 309-327

   3. Virtual Population and Acceleration Techniques for Evolutionary Power Flow Calculation in Power Systems

      • Kit Po Wong, An Li

      Pages 329-345

Evolutionary computation techniques have attracted increasing att- tions in recent years for solving complex optimization problems. They are more robust than traditional methods based on formal logics or mathematical programming for many real world OR/MS problems. E- lutionary computation techniques can deal with complex optimization problems better than traditional optimization techniques. However, most papers on the application of evolutionary computation techniques to Operations Research /Management Science (OR/MS) problems have scattered around in different journals and conference proceedings. They also tend to focus on a very special and narrow topic. It is the right time that an archival book series publishes a special volume which - cludes critical reviews of the state-of-art of those evolutionary com- tation techniques which have been found particularly useful for OR/MS problems, and a collection of papers which represent the latest devel- ment in tackling various OR/MS problems by evolutionary computation techniques. This special volume of the book series on Evolutionary - timization aims at filling in this gap in the current literature. The special volume consists of invited papers written by leading - searchers in the field. All papers were peer reviewed by at least two recognised reviewers. The book covers the foundation as well as the practical side of evolutionary optimization.

• algorithms
• evolutionary algorithm
• formal logic
• genetic algorithms
• heuristics
• intelligence
• multi-objective optimization
• optimization
• programming

From the reviews:

"The book contains 17 chapters written by leading experts in evolutionary computation. … Of special value is the analysis of evolutionary algorithms on pseudo-Boolean functions, given by Ingo Wegener. He and his coauthors are the first, who proved substantially sharp results on the expected run time and the success probability for evolutionary algorithms with (respectively without) crossover, giving sharp upper and lower bounds." (Hartmut Noltemeier, Zentralblatt MATH, Vol. 1072 (23), 2005)

• University of New South Wales, Australia

  Ruhul Sarker

• University of Canberra, Australia

  Masoud Mohammadian

• University of Birmingham, UK

  Xin Yao

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