Diversity Management in Memetic Algorithms

  • Ferrante Neri
Part of the Studies in Computational Intelligence book series (SCI, volume 379)

Introduction

In Evolutionary Computing, Swarm Intelligence, and more generally, populationbased algorithms diversity plays a crucial role in the success of the optimization. Diversity is a property of a group of individuals which indicates how much these individuals are alike. Clearly, a group composed of individuals similar to each other is said to have a low diversity whilst a group of individuals dissimilar to each other is said to have a high diversity. In computer science, in the context of population-based algorithms the concept of diversity is more specific: the diversity of a population is a measure of the number of different solutions present, see [239].

Keywords

Local Search Differential Evolution Memetic Algorithm Local Search Algorithm Premature Convergence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Ferrante Neri
    • 1
  1. 1.Department of Mathematical Information TechnologyUniversity of JyväskyläAgoraFinland

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