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Theory of Evolutionary Computation

Recent Developments in Discrete Optimization

  • Benjamin Doerr
  • Frank Neumann
Book

Part of the Natural Computing Series book series (NCS)

About this book

Introduction

This edited book reports on recent developments in the theory of evolutionary computation, or more generally the domain of randomized search heuristics. 

It starts with two chapters on mathematical methods that are often used in the analysis of randomized search heuristics, followed by three chapters on how to measure the complexity of a search heuristic: black-box complexity, a counterpart of classical complexity theory in black-box optimization; parameterized complexity, aimed at a more fine-grained view of the difficulty of problems; and the fixed-budget perspective, which answers the question of how good a solution will be after investing a certain computational budget. The book then describes theoretical results on three important questions in evolutionary computation: how to profit from changing the parameters during the run of an algorithm; how evolutionary algorithms cope with dynamically changing or stochastic environments; and how population diversity influences performance. Finally, the book looks at three algorithm classes that have only recently become the focus of theoretical work: estimation-of-distribution algorithms; artificial immune systems; and genetic programming.

Throughout the book the contributing authors try to develop an understanding for how these methods work, and why they are so successful in many applications. The book will be useful for students and researchers in theoretical computer science and evolutionary computing.

Keywords

Computational Complexity Evolutionary Algorithms (EA) Evolutionary Computing (EC) Heuristics Optimization EDA (Estimation of Distribution Algorithm) Randomized Search Heuristics Parameterized Complexity Stochastic Search

Editors and affiliations

  • Benjamin Doerr
    • 1
  • Frank Neumann
    • 2
  1. 1.Laboratoire d'Informatique (LIX) - UMR 7161École PolytechniquePalaiseauFrance
  2. 2.School of Computer ScienceThe University of AdelaideAdelaideAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-29414-4
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-29413-7
  • Online ISBN 978-3-030-29414-4
  • Series Print ISSN 1619-7127
  • Buy this book on publisher's site