Varying the population size of artificial foraging swarms on time varying landscapes

Authors:
Carlos Fernandes;Vitorino Ramos;Agostinho C. Rosa
Affiliations:
LaSEEB-ISR-IST, Technical Univ. of Lisbon (IST), Lisbon, Portugal;CVRM-IST, Technical Univ. of Lisbon (IST), Lisbon, Portugal;LaSEEB-ISR-IST, Technical Univ. of Lisbon (IST), Lisbon, Portugal
Venue:
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Year:
2005

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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.