An evolutionary technique based on K-means algorithm for optimal clustering in RN
Information Sciences—Applications: An International Journal
A hybrid genetic algorithm and particle swarm optimization for multimodal functions
Applied Soft Computing
A hybridized approach to data clustering
Expert Systems with Applications: An International Journal
An effective hybrid PSO-based algorithm for flow shop scheduling with limited buffers
Computers and Operations Research
A new particle swarm optimization for the open shop scheduling problem
Computers and Operations Research
A particle swarm optimization algorithm for the multiple-level warehouse layout design problem
Computers and Industrial Engineering
Applying particle swarm optimization algorithm to roundness measurement
Expert Systems with Applications: An International Journal
Expert algorithm based on adaptive particle swarm optimization for power flow analysis
Expert Systems with Applications: An International Journal
Pattern recognition using neural-fuzzy networks based on improved particle swam optimization
Expert Systems with Applications: An International Journal
A particle swarm with selective particle regeneration for multimodal functions
WSEAS Transactions on Information Science and Applications
Ant colony and particle swarm optimization for financial classification problems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A new hybrid NM method and particle swarm algorithm for multimodal function optimization
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Hybrid Particle Swarm Optimization With Wavelet Mutation and Its Industrial Applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A decision support system based on metaheuristic model for aircrafts landing problems
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems
Color quantization using modified artificial fish swarm algorithm
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Survey on particle swarm optimization based clustering analysis
SIDE'12 Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
An Efficient Hybrid Artificial Bee Colony Algorithm for Customer Segmentation in Mobile E-commerce
Journal of Electronic Commerce in Organizations
Particle swarm optimization algorithm for the berth allocation problem
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
This paper presents selective regeneration particle swarm optimization (SRPSO), a novel algorithm developed based on particle swarm optimization (PSO). It contains two new features, unbalanced parameter setting and particle regeneration operation. The unbalanced parameter setting enables fast convergence of the algorithm and the particle regeneration operation allows the search to escape from local optima and explore for better solutions. This algorithm is applied to data clustering problems for performance evaluation and a hybrid algorithm (KSRPSO) of K-means clustering method and SRPSO is developed. In the conducted numerical experiments, SRPSO and KSRPSO are compared to the original PSO algorithm, K-means, as well as, other methods proposed by other studies. The results demonstrate that SRPSO and KSRPSO are efficient, accurate, and robust methods for data clustering problems.