Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Heuristics for cardinality constrained portfolio optimisation
Computers and Operations Research
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Journal of Global Optimization
Recent approaches to global optimization problems through Particle Swarm Optimization
Natural Computing: an international journal
Comparison between Genetic Algorithms and Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Evolving Evolutionary Algorithms Using Linear Genetic Programming
Evolutionary Computation
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
Observing the swarm behaviour during its evolutionary design
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
What else is the evolution of PSO telling us?
Journal of Artificial Evolution and Applications - Particle Swarms: The Second Decade
Evolution of Search Algorithms Using Graph Structured Program Evolution
EuroGP '09 Proceedings of the 12th European Conference on Genetic Programming
Circular Representations of a Valued Preference Matrix
ADT '09 Proceedings of the 1st International Conference on Algorithmic Decision Theory
A study of parallel and distributed particle swarm optimization methods
Proceedings of the 2nd workshop on Bio-inspired algorithms for distributed systems
An empirical comparison of parallel and distributed particle swarm optimization methods
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Evolving strategies for updating pheromone trails: a case study with the TSP
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part II
GPU-based asynchronous particle swarm optimization
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Towards the development of self-ant systems
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Designing pheromone update strategies with strongly typed genetic programming
EuroGP'11 Proceedings of the 14th European conference on Genetic programming
Automatic design of ant algorithms with grammatical evolution
EuroGP'12 Proceedings of the 15th European conference on Genetic Programming
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A new model for evolving the structure of a Particle Swarm Optimization (PSO) algorithm is proposed in this paper. The model is a hybrid technique that combines a Genetic Algorithm (GA) and a PSO algorithm. Each GA chromosome is an array encoding a meaning for updating the particles of the PSO algorithm. The evolved PSO algorithm is compared to a human-designed PSO algorithm by using ten artificially constructed functions and one real-world problem. Numerical experiments show that the evolved PSO algorithm performs similarly and sometimes even better than standard approaches for the considered problems.