Varying the Population Size of Artificial Foraging Swarms on Time Varying Landscapes
- 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
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.
Unable to display preview. Download preview PDF.