Experimental Research in Evolutionary Computation

The New Experimentalism

  • Thomas┬áBartz-Beielstein
Part of the Natural Computing Series book series (NCS)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Basics

  3. Results and Perspectives

    1. Front Matter
      Pages 103-103
    2. Pages 105-143
    3. Pages 175-184
  4. Back Matter
    Pages 185-215

About this book

Introduction

Experimentation is necessary - a purely theoretical approach is not reasonable. The new experimentalism, a development in the modern philosophy of science, considers that an experiment can have a life of its own. It provides a statistical methodology to learn from experiments, where the experimenter should distinguish between statistical significance and scientific meaning.

This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. The book develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. Treating optimization runs as experiments, the author offers methods for solving complex real-world problems that involve optimization via simulation, and he describes successful applications in engineering and industrial control projects.

The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples, so it is suitable for practitioners and researchers and also for lecturers and students. It summarizes results from the author's consulting to industry and his experience teaching university courses and conducting tutorials at international conferences. The book will be supported online with downloads and exercises.

Keywords

Performance algorithm algorithms evolution evolutionary algorithm evolutionary computation heuristics optimization simulation statistics

Authors and affiliations

  • Thomas┬áBartz-Beielstein
    • 1
  1. 1.Department of Computer ScienceUniversity of DortmundDortmundGermany

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-32027-X
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-32026-5
  • Online ISBN 978-3-540-32027-2
  • Series Print ISSN 1619-7127
  • About this book