EcoPS: a model of group-foraging with particle swarm systems

Authors:
Cecilia Di Chio;Paolo Di Chio
Affiliations:
Department of Computer Science, University of Essex, UK;Dipartimento di Sistemi e Istituzioni per l'Economia, University of L'Aquila, Italy
Venue:
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
Year:
2007

Citing 7
Cited 0

Flocks, herds and schools: A distributed behavioral model

SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Hidden order: how adaptation builds complexity

Hidden order: how adaptation builds complexity
Artificial life: discipline or method? report on a debate held at ECAL '99

Artificial Life
Swarm intelligence

Swarm intelligence
EcoPS: a particle swarm algorithm to model group-foraging

Proceedings of the 9th annual conference on Genetic and evolutionary computation
Artificial life as a tool for biological inquiry

Artificial Life
Modelling group-foraging behaviour with particle swarms

PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose a model for simulating group-foraging behaviour with the use of a Particle Swarm system. Traditionally, the main field of application for Particle Swarm systems has been the optimisation of non-linear functions: with our research, we intend to position Particle Swarm systems in the field of Artificial Life. The EcoPS model we present shows some interesting behaviours. In particular, it seems that grouping is the key to finding the right balance between exploiting resources and surviving.