Part E: Evolutionary Computation

Frank Neumann (Editor), Carsten Witt (Editor), Peter Merz (Editor), Carlos A. Coello Coello (Editor), Thomas Bartz-Beielstein (Editor), Oliver Schütze (Editor), Jörn Mehnen (Editor), Günther Raidl (Editor)

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Citations (Scopus)

Abstract

The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches include, for example, those being inspired by biology, living organisms and animate systems. Content is organized in seven parts: foundations; fuzzy logic; rough sets; evolutionary computation; neural networks; swarm intelligence and hybrid computational intelligence systems. Each Part is supervised by its own Part Editor(s) so that high-quality content as well as completeness are assured.
Original languageEnglish
Title of host publicationHandbook of Computational Intelligence
EditorsJanusz Kacprzyk, Witold Pedrycz
Place of PublicationBerlin
Pages823-1288
Edition1
ISBN (Electronic)978-3-662-43505-2
DOIs
Publication statusPublished - 2015

Keywords

  • evolutionary computation
  • genetic algorithms
  • genetic programming
  • evolution strategies
  • distribution algorithms
  • evolutionary algorithms
  • stochastic local search algorithms

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    Neumann, F., Witt, C., Merz, P., Coello Coello, C. A., Bartz-Beielstein, T., Schütze, O., ... Raidl, G. (Eds.) (2015). Part E: Evolutionary Computation. In J. Kacprzyk, & W. Pedrycz (Eds.), Handbook of Computational Intelligence (1 ed., pp. 823-1288 ). Berlin. https://doi.org/10.1007/978-3-662-43505-2