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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Di Chio, C., & Di Chio, P. (2007). Group-foraging with particle swarms and genetic programming. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4445 LNCS, pp. 331–340). Springer Verlag. https://doi.org/10.1007/978-3-540-71605-1_31
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