Genetic programming (videotape): the movie
Genetic programming (videotape): the movie
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence
Foundations of genetic programming
Foundations of genetic programming
Dynamic Search With Charged Swarms
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Particle swarm optimisation with spatial particle extension
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Division of labor in particle swarm optimisation
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Extending particle swarm optimisers with self-organized criticality
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Extending particle swarm optimisation via genetic programming
EuroGP'05 Proceedings of the 8th European conference on Genetic Programming
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set
Proceedings of the 8th annual conference on Genetic and evolutionary computation
The gregarious particle swarm optimizer (G-PSO)
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Dynamic and adjustable particle swarm optimization
EC'07 Proceedings of the 8th Conference on 8th WSEAS International Conference on Evolutionary Computing - Volume 8
Journal of Artificial Evolution and Applications - Particle Swarms: The Second Decade
There Is a Free Lunch for Hyper-Heuristics, Genetic Programming and Computer Scientists
EuroGP '09 Proceedings of the 12th European Conference on Genetic Programming
A note on the learning automata based algorithms for adaptive parameter selection in PSO
Applied Soft Computing
Evolving evolutionary algorithms
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
The importance of the learning conditions in hyper-heuristics
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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Particle Swarm Optimisation (PSO) uses a population of particles that fly over the fitness landscape in search of an optimal solution. The particles are controlled by forces that encourage each particle to fly back both towards the best point sampled by it and towards the swarm's best point, while its momentum tries to keep it moving in its current direction.Previous research started exploring the possibility of evolving the force generating equations which control the particles through the use of genetic programming (GP).We independently verify the findings of the previous research and then extend it by considering additional meaningful ingredients for the PSO force-generating equations, such as global measures of dispersion and position of the swarm. We show that, on a range of problems, GP can automatically generate new PSO algorithms that outperform standard human-generated as well as some previously evolved ones.