Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Particle swarm optimization with resets: improving the balance between exploration and exploitation
MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
Selection strategies for initial positions and initial velocities in multi-optima particle swarms
Proceedings of the 13th annual conference on Genetic and evolutionary computation
An analysis of sub-swarms in multi-swarm systems
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
A simple strategy to maintain diversity and reduce crowding in particle swarm optimization
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
An ACO algorithm benchmarked on the BBOB noiseless function testbed
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
The continuous differential ant-stigmergy algorithm for numerical optimization
Computational Optimization and Applications
| Hi-index | 0.00 |
This paper benchmarks the Particle Swarm Optimization (PSO) algorithm using the noise-free BBOB 2009 testbed.