Exploring extended particle swarms: a genetic programming approach
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Proceedings of the 2009 International Conference on Hybrid Information Technology
Heterogeneous particle swarm optimization
ANTS'10 Proceedings of the 7th international conference on Swarm intelligence
Expert Systems with Applications: An International Journal
Protein structure prediction using particle swarm optimization and a distributed parallel approach
Proceedings of the 3rd workshop on Biologically inspired algorithms for distributed systems
Quantum-Behaved particle swarm optimization algorithm with controlled diversity
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Adaptive parameter selection of quantum-behaved particle swarm optimization on global level
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Protein structure prediction using distributed parallel particle swarm optimization
Natural Computing: an international journal
Hi-index | 0.00 |
We introduce Division of Labor (DoL) from social insects to improve local optimisation of the Particle Swarm Optimiser (PSO). We compared the performance with the basic PSO, a GA and simulated annealing and found improvements around local optima. The PSO with DoL outperforms the basic PSO on most testcases and is comparable in local optimisation with SA.