Varying the Population Size of Artificial Foraging Swarms on Time Varying Landscapes

  • Carlos Fernandes
  • Vitorino Ramos
  • Agostinho C. Rosa
Conference paper

DOI: 10.1007/11550822_49

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3696)
Cite this paper as:
Fernandes C., Ramos V., Rosa A.C. (2005) Varying the Population Size of Artificial Foraging Swarms on Time Varying Landscapes. In: Duch W., Kacprzyk J., Oja E., Zadrożny S. (eds) Artificial Neural Networks: Biological Inspirations – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3696. Springer, Berlin, Heidelberg

Abstract

In this paper we present a Swarm Search Algorithm with varying population of agents based on a previous model with fixed population which proved its effectiveness on several computation problems [6,7,8]. We will show that the variation of the population size provides the swarm with mechanisms that improves its self-adaptability and causes the emergence of a more robust self-organized behavior, resulting in a higher efficiency on searching peaks and valleys over dynamic search landscapes represented here by several three-dimensional mathematical functions that suddenly change over time.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Carlos Fernandes
    • 1
    • 3
  • Vitorino Ramos
    • 2
  • Agostinho C. Rosa
    • 1
  1. 1.LaSEEB-ISR-ISTTechnical Univ. of Lisbon (IST)LisbonPortugal
  2. 2.CVRM-ISTTechnical Univ. of Lisbon (IST)LisbonPortugal
  3. 3.EST-IPS, Setúbal Polytechnic Institute (IPS)SetúbalPortugal

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