Computational intelligence PC tools
Computational intelligence PC tools
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
New ideas in 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
Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
An analysis of particle swarm optimizers
An analysis of particle swarm optimizers
ICCIMA '05 Proceedings of the Sixth International Conference on Computational Intelligence and Multimedia Applications
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
IEEE Transactions on Evolutionary Computation
Information Processing Letters
EvoBIO '09 Proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
A novel particle swarm optimizer hybridized with extremal optimization
Applied Soft Computing
Integral Particle Swarm Optimization with Dispersed Accelerator Information
Fundamenta Informaticae - Swarm Intelligence
Boid particle swarm optimisation
International Journal of Innovative Computing and Applications
Individual predicted integral-controlled particle swarm optimisation
International Journal of Innovative Computing and Applications
Engineering Applications of Artificial Intelligence
A note on the learning automata based algorithms for adaptive parameter selection in PSO
Applied Soft Computing
Expert Systems with Applications: An International Journal
Solving nonlinear optimal control problems using a hybrid IPSO-SQP algorithm
Engineering Applications of Artificial Intelligence
A novel particle swarm optimization algorithm with adaptive inertia weight
Applied Soft Computing
Integration of particle swarm optimization and genetic algorithm for dynamic clustering
Information Sciences: an International Journal
Identification of surgical practice patterns using evolutionary cluster analysis
Mathematical and Computer Modelling: An International Journal
Integral Particle Swarm Optimization with Dispersed Accelerator Information
Fundamenta Informaticae - Swarm Intelligence
A model-independent Particle Swarm Optimisation software for model calibration
Environmental Modelling & Software
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This paper deals with the concept of including the popular genetic algorithm operator, cross-over and root mean square (RMS) variants into particle swarm optimization (PSO) algorithm to make the convergence faster. Two different PSO algorithms are considered in this paper: the first one is the conventional PSO (cPSO) and the second is the global-local best values based PSO (GLbest-PSO). The GLbest-PSO includes global-local best inertia weight (GLbestIW) with global-local best acceleration coefficient (GLbestAC), whereas the cPSO has a time varying inertia weight (TVIW) and either time varying acceleration coefficient (TVAC) or fixed AC (FAC). The effectiveness of the cross-over operator with both PSO algorithms is tested through a constrained optimal control problem of a class of hybrid systems. The experimental results illustrate the advantage of PSO with cross-over operator, which sharpens the convergence and tunes to the best solution. In order to compare and verify the validity and effectiveness of the new approaches for PSO, several statistical analyses are carried out. The results clearly demonstrate that the GLbest-PSO with the cross-over operator is a very promising optimization technique. Similar conclusions can be made for the GLbest-PSO with RMS variants also.