Cellular Genetic Algorithms

Authors:

ISBN: 978-0-387-77609-5 (Print) 978-0-387-77610-1 (Online)

Table of contents (17 chapters)

  1. Front Matter

    Pages 1-12

  2. Part I Introduction

    1. Front Matter

      Pages 1-1

    2. No Access

      Book Chapter

      Pages 3-20

      Introduction to Cellular Genetic Algorithms

    3. No Access

      Book Chapter

      Pages 21-34

      The State of the Art in Cellular Evolutionary Algorithms

  3. Part II Characterizing Cellular Genetic Algorithms

    1. Front Matter

      Pages 1-1

    2. No Access

      Book Chapter

      Pages 37-46

      On the Effects of Structuring the Population

    3. No Access

      Book Chapter

      Pages 47-69

      Some Theory: A Selection Pressure Study on cGAs

  4. Part III Algorithmic Models and Extensions

    1. Front Matter

      Pages 1-1

    2. No Access

      Book Chapter

      Pages 73-82

      Algorithmic and Experimental Design

    3. No Access

      Book Chapter

      Pages 83-99

      Design of Self-adaptive cGAs

    4. No Access

      Book Chapter

      Pages 101-114

      Design of Cellular Memetic Algorithms

    5. No Access

      Book Chapter

      Pages 115-126

      Design of Parallel Cellular Genetic Algorithms

    6. No Access

      Book Chapter

      Pages 127-138

      Designing Cellular Genetic Algorithms for Multi-objective Optimization

    7. No Access

      Book Chapter

      Pages 139-152

      Other Cellular Models

    8. No Access

      Book Chapter

      Pages 153-163

      Software for cGAs: The JCell Framework

  5. Part IV Applications of cGAs

    1. Front Matter

      Pages 1-1

    2. No Access

      Book Chapter

      Pages 167-174

      Continuous Optimization

    3. No Access

      Book Chapter

      Pages 175-186

      Logistics: The Vehicle Routing Problem

    4. No Access

      Book Chapter

      Pages 187-202

      Telecommunications: Optimization of the Broadcasting Process in MANETs

    5. No Access

      Book Chapter

      Pages 203-210

      Bioinformatics: The DNA Fragment Assembly Problem

  6. Back Matter

    Pages 1-35