Swarm intelligence
Comparison between Genetic Algorithms and Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Dissipative particle swarm optimization
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Extending particle swarm optimisers with self-organized criticality
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
A multimodal particle swarm optimizer based on fitness Euclidean-distance ratio
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Utility-based decision support system for schedule optimization
Decision Support Systems
A particle swarm optimization for the vehicle routing problem with simultaneous pickup and delivery
Computers and Operations Research
International Journal of Intelligent Systems Technologies and Applications
Staff Scheduling with Particle Swarm Optimisation and Evolution Strategies
EvoCOP '09 Proceedings of the 9th European Conference on Evolutionary Computation in Combinatorial Optimization
Adaptive clubs-based particle swarm optimization
ACC'09 Proceedings of the 2009 conference on American Control Conference
A hybrid optimization strategy for simplifying the solutions of support vector machines
Pattern Recognition Letters
Re-diversification based particle swarm algorithm with cauchy mutation
ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence
Discrete and continuous optimization based on multi-swarm coevolution
Natural Computing: an international journal
RFID network planning using a multi-swarm optimizer
Journal of Network and Computer Applications
Information Sciences: an International Journal
Vehicle routing problem with uncertain demands: An advanced particle swarm algorithm
Computers and Industrial Engineering
Niching particle swarm optimization with local search for multi-modal optimization
Information Sciences: an International Journal
Robotic path planning using hybrid genetic algorithm particle swarm optimisation
International Journal of Information and Communication Technology
Movement Strategies for Multi-Objective Particle Swarm Optimization
International Journal of Applied Metaheuristic Computing
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This paper presents a modification of the particle swarm optimization algorithm (PSO) intended to combat the problem of premature convergence observed in many applications of PSO. In the new algorithm, each particle is attracted towards the best previous positions visited by its neighbors, in addition to the other aspects of particle dynamics in PSO. This is accomplished by using the ratio of the relative fitness and the distance of other particles to determine the direction in which each component of the particle position needs to be changed. The resulting algorithm, known as Fitness-Distance-Ratio based PSO (FDR-PSO), is shown to perform significantly better than the original PSO algorithm and several of its variants, on many different benchmark optimization problems. Avoiding premature convergence allows FDR-PSO to continue search for global optima in difficult multimodal optimization problems, reaching better solutions than PSO and several of its variants.