Evolutionary Optimization

Authors:

ISBN: 978-0-7923-7654-5 (Print) 978-0-306-48041-6 (Online)

Table of contents (16 chapters)

  1. Introduction

    1. Front Matter

      Pages 1-1

    2. No Access

      Book Chapter

      Pages 3-25

      Conventional Optimization Techniques

    3. No Access

      Book Chapter

      Pages 27-53

      Evolutionary Computation

  2. Single Objective Optimization

    1. Front Matter

      Pages 55-55

    2. No Access

      Book Chapter

      Pages 57-86

      Evolutionary Algorithms and Constrained Optimization

    3. No Access

      Book Chapter

      Pages 87-113

      Constrained Evolutionary Optimization

  3. Multi-Objective Optimization

    1. Front Matter

      Pages 115-115

    2. No Access

      Book Chapter

      Pages 117-146

      Evolutionary Multi-Objective Optimization: A Critical Review

    3. No Access

      Book Chapter

      Pages 147-175

      Multi-Objective Evolutionary Algorithms for Engineering Shape Design

    4. No Access

      Book Chapter

      Pages 177-195

      Assessment Methodologies for Multiobjective Evolutionary Algorithms

  4. Hybrid Algorithms

    1. Front Matter

      Pages 197-197

    2. No Access

      Book Chapter

      Pages 199-228

      Utilizing Hybrid Genetic Algorithms

    3. No Access

      Book Chapter

      Pages 229-252

      Using Evolutionary Algorithms to Solve Problems by Combining Choices of Heuristics

    4. No Access

      Book Chapter

      Pages 253-275

      Constrained Genetic Algorithms and Their Applications in Nonlinear Constrained Optimization

  5. Parameter Selection in EAs

    1. Front Matter

      Pages 277-277

    2. No Access

      Book Chapter

      Pages 279-306

      Parameter Selection

  6. Application of EAs to Practical Problems

    1. Front Matter

      Pages 307-307

    2. No Access

      Book Chapter

      Pages 309-327

      Design of Production Facilities Using Evolutionary Computing

    3. No Access

      Book Chapter

      Pages 329-345

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

  7. Application of EAs to Theoretical Problems

    1. Front Matter

      Pages 347-347

    2. No Access

      Book Chapter

      Pages 349-369

      Methods for the Analysis of Evolutionary Algorithms on Pseudo-Boolean Functions

    3. No Access

      Book Chapter

      Pages 371-398

      A Genetic Algorithm Heuristic for Finite Horizon Partially Observed Markov Decision Problems

    4. No Access

      Book Chapter

      Pages 399-413

      Using Genetic Algorithms to Find Good K-Tree Subgraphs