EcoPS: a particle swarm algorithm to model group-foraging

Recent work has introduced a simulation model of ecological processes in terms of a very simple Particle Swarm algorithm. This abstract model produced qualitatively realistic behaviours, but do these results hold up in a model constrained by more plausible biological assumptions? The objective of this paper is to answer this question. Categories and Subject Descriptors I.2.8 [Artificial Intelligence]: Problem Solving, Control Methods, and Search; I.6.3 [Simulation and Modeling]: Applications General Terms Performance Keywords Particle Swarm, Swarm Intelligence, Artificial Life, Adaptive Behaviour, Biological Application

• Type: Conference
• Year: 2007
• Where: GECCO
• Authors: Cecilia Di Chio, Riccardo Poli, Paolo Di Chio
• Keywords: GECCO 2007, Particle Swarm, Particle Swarm Algorithm, Plausible Biological Assumptions