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Memetic Computing

, Volume 6, Issue 3, pp 147–148 | Cite as

Thematic issue on advances in nature inspired cooperative strategies for optimization

  • Fernando E. B. Otero
  • Antonio D. Masegosa
  • Germán Terrazas
Editorial

Researchers have long turn to nature as a source of inspiration for new optimization techniques, developing metaphors that mimic natural behaviour or processes that can be used to solve real-world problems. Such techniques—e.g., from genetic algorithms emulating Darwin’s principle of natural evolution, ant colony optimization using a population of artificial ants that collaborate by means of pheromone to artificial immune systems inspired by the principals and function of the (natural) immune system, to mention a few—have proven successful in different optimization problems, which in many cases produce state-of-the-art solutions.

This thematic issue is the result of an open call for contributions. At the same time, authors of selected papers were invited to submit significantly extended versions of papers presented at the recent International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO) held on September 2013.1

The first paper in this thematic issue is...

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Fernando E. B. Otero
    • 1
  • Antonio D. Masegosa
    • 2
  • Germán Terrazas
    • 3
  1. 1.School of ComputingUniversity of KentKentUK
  2. 2.Research Center for ICT (CITIC-UGR)University of GranadaGranadaSpain
  3. 3.Institute for Advanced ManufacturingUniversity of NottinghamNottinghamUK

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