Multiobjective Problem Solving from Nature

From Concepts to Applications

Editors:

ISBN: 978-3-540-72963-1 (Print) 978-3-540-72964-8 (Online)

Table of contents (18 chapters)

  1. Front Matter

    Pages I-XVI

  2. Introduction: Problem Solving, EC and EMO

    1. Front Matter

      Pages 1-1

    2. No Access

      Book Chapter

      Pages 1-28

      Introduction: Problem Solving, EC and EMO

  3. Exploiting Multiple Objectives: From Problems to Solutions

    1. Front Matter

      Pages 29-29

    2. No Access

      Book Chapter

      Pages 31-52

      Multiobjective Optimization and Coevolution

    3. No Access

      Book Chapter

      Pages 53-75

      Constrained Optimization via Multiobjective Evolutionary Algorithms

    4. No Access

      Book Chapter

      Pages 77-91

      Tackling Dynamic Problems with Multiobjective Evolutionary Algorithms

    5. No Access

      Book Chapter

      Pages 93-114

      Computational Studies of Peptide and Protein Structure Prediction Problems via Multiobjective Evolutionary Algorithms

    6. No Access

      Book Chapter

      Pages 115-130

      Can Single-Objective Optimization Profit from Multiobjective Optimization?

    7. No Access

      Book Chapter

      Pages 131-151

      Modes of Problem Solving with Multiple Objectives: Implications for Interpreting the Pareto Set and for Decision Making

  4. Machine Learning with Multiple Objectives

    1. Front Matter

      Pages 153-153

    2. No Access

      Book Chapter

      Pages 155-176

      Multiobjective Supervised Learning

    3. No Access

      Book Chapter

      Pages 177-200

      Reducing Bloat in GP with Multiple Objectives

    4. No Access

      Book Chapter

      Pages 201-218

      Multiobjective GP for Human-Understandable Models: A Practical Application

    5. No Access

      Book Chapter

      Pages 219-240

      Multiobjective Classification Rule Mining

  5. Multiple Objectives in Design and Engineering

    1. Front Matter

      Pages 241-241

    2. No Access

      Book Chapter

      Pages 243-262

      Innovization: Discovery of Innovative Design Principles Through Multiobjective Evolutionary Optimization

    3. No Access

      Book Chapter

      Pages 263-283

      User-Centric Evolutionary Computing: Melding Human and Machine Capability to Satisfy Multiple Criteria

    4. No Access

      Book Chapter

      Pages 285-304

      Multi-competence Cybernetics: The Study of Multiobjective Artificial Systems and Multi-fitness Natural Systems

  6. Scaling up Multiobjective Optimization

    1. Front Matter

      Pages 305-305

    2. No Access

      Book Chapter

      Pages 307-329

      Fitness Assignment Methods for Many-Objective Problems

    3. No Access

      Book Chapter

      Pages 331-355

      Modeling Regularity to Improve Scalability of Model-Based Multiobjective Optimization Algorithms

    4. No Access

      Book Chapter

      Pages 357-376

      Objective Set Compression

    5. No Access

      Book Chapter

      Pages 377-403

      On Handling a Large Number of Objectives A Posteriori and During Optimization

  7. Back Matter

    Pages 405-409