Journal of Global Optimization
Parameter Selection in Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Comparison between Genetic Algorithms and Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Exploring extended particle swarms: a genetic programming approach
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
The fully informed particle swarm: simpler, maybe better
IEEE Transactions on Evolutionary Computation
A Cooperative approach to particle swarm optimization
IEEE Transactions on Evolutionary Computation
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
IEEE Transactions on Evolutionary Computation
A hierarchical particle swarm optimizer and its adaptive variant
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A heuristic particle swarm optimization
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Fuzzy SVM Training Based on the Improved Particle Swarm Optimization
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Parameter extraction for PSP MOSFET model using hierarchical particle swarm optimization
Engineering Applications of Artificial Intelligence
Mean particle swarm optimisation for function optimisation
International Journal of Computational Intelligence Studies
Navigating a robotic swarm in an uncharted 2D landscape
Applied Soft Computing
Artificial Intelligence Review
Restarting multi-type particle swarm optimization using an adaptive selection of particle type
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
The limited mutation particle swarm optimizer
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
Integrated Learning Particle Swarm Optimizer for global optimization
Applied Soft Computing
A note on the learning automata based algorithms for adaptive parameter selection in PSO
Applied Soft Computing
Swine Influenza Models Based Optimization (SIMBO)
Applied Soft Computing
International Journal of Applied Evolutionary Computation
Parallel swarms oriented particle swarm optimization
Applied Computational Intelligence and Soft Computing
| Hi-index | 0.00 |
This paper presents a gregarious particle swarm optimization algorithm (G-PSO) in which the particles explore the search space by aggressively scouting the local minima with the help of only social knowledge. To avoid premature convergence of the swarm, the particles are re-initialized with a random velocity when stuck at a local minimum. Furthermore, G-PSO adopts a "reactive" determination of the step size, based on feedback from the last iterations. This is in contrast to the basic particle swarm algorithm, in which the particles explore the search space by using both the individual "cognitive" component and the "social" knowledge and no feedback is used for the self-tuning of algorithm parameters. The novel scheme presented, besides generally improving the average optimal values found, reduces the computation effort.