Diversity Management in Memetic Algorithms

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


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].


Local Search Differential Evolution Memetic Algorithm Local Search Algorithm Premature Convergence 
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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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