Swarm intelligence
Extending the particle swarm algorithm to model animal foraging behaviour
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
Extending particle swarm optimisation via genetic programming
EuroGP'05 Proceedings of the 8th European conference on Genetic Programming
Digital enzymes: agents of reaction inside robotic controllers for the foraging problem
Proceedings of the 13th annual conference on Genetic and evolutionary computation
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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.