Paper Info
Title
Group-foraging with particle swarms and genetic programming
Abstract
This paper has been inspired by two quite different works in the field of Particle Swarm theory. Its main aims are to obtain particle swarm equations via genetic programming which perform better than hand-designed ones on the group-foraging problem, and to provide insight into behavioural ecology. With this work, we want to start a new research direction: the use of genetic programming together with particle swarm algorithms in the simulation of problems in behavioural ecology.
Year
DOI
Venue
2007
10.1007/978-3-540-71605-1_31
EuroGP
Keywords
Field
DocType
main aim,particle swarm equation,particle swarm theory,particle swarm algorithm,new research direction,behavioural ecology,genetic programming,different work,group-foraging problem,particle swarm
Particle swarm optimization,Computer science,Genetic programming,Theoretical computer science,Multi-swarm optimization,Artificial intelligence,Foraging,Particle,Swarm robotics
Conference
Volume
ISSN
Citations 
4445
0302-9743
1
PageRank 
References 
Authors
0.38
3
2
Name
Order
Citations
PageRank
Cecilia Di Chio125121.24
Paolo Di Chio2225.36