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

Carlos M. Fernandes | Zendy; Vitorino Ramos | Zendy; Agostinho Rosa | Zendy

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

Author(s) -

Carlos M. Fernandes,

Vitorino Ramos,

Agostinho Rosa

Publication year - 2005

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-28752-3

DOI - 10.1007/11550822_49

Subject(s) - adaptability , foraging , swarm behaviour , population size , computer science , population , computation , variation (astronomy) , swarm intelligence , particle swarm optimization , artificial intelligence , mathematical optimization , algorithm , ecology , mathematics , biology , demography , sociology , physics , astrophysics

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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