Swarm intelligence
Evolutionary Optimization in Dynamic Environments
Evolutionary Optimization in Dynamic Environments
Recent approaches to global optimization problems through Particle Swarm Optimization
Natural Computing: an international journal
Genetic Algorithms for Tracking Changing Environments
Proceedings of the 5th International Conference on Genetic Algorithms
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Adaptively choosing niching parameters in a PSO
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Evolutionary Computation in Dynamic and Uncertain Environments (Studies in Computational Intelligence)
Particle swarm optimization for multimodal functions: a clustering approach
Journal of Artificial Evolution and Applications - Particle Swarms: The Second Decade
Genetic algorithms with memory-and elitism-based immigrants in dynamic environments
Evolutionary Computation
Fast Multi-Swarm Optimization for Dynamic Optimization Problems
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 07
A Generalized Approach to Construct Benchmark Problems for Dynamic Optimization
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
Triggered Memory-Based Swarm Optimization in Dynamic Environments
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
A clustering particle swarm optimizer for dynamic optimization
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Hyper-learning for population-based incremental learning in dynamic environments
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Detecting change in dynamic fitness landscapes
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Associative memory scheme for genetic algorithms in dynamic environments
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
A Cooperative approach to particle swarm optimization
IEEE Transactions on Evolutionary Computation
Evolutionary optimization in uncertain environments-a survey
IEEE Transactions on Evolutionary Computation
Locating and tracking multiple dynamic optima by a particle swarm model using speciation
IEEE Transactions on Evolutionary Computation
Multiswarms, exclusion, and anti-convergence in dynamic environments
IEEE Transactions on Evolutionary Computation
Population-Based Incremental Learning With Associative Memory for Dynamic Environments
IEEE Transactions on Evolutionary Computation
A hierarchical particle swarm optimizer and its adaptive variant
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Adaptive particle swarm optimization algorithm for dynamic environments
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
How long should we run in dynamic optimization?
Proceedings of the 14th annual conference on Genetic and evolutionary computation
An algorithm comparison for dynamic optimization problems
Applied Soft Computing
Adaptive swarm optimization for locating and tracking multiple targets
Applied Soft Computing
A multiple local search algorithm for continuous dynamic optimization
Journal of Heuristics
A clustering particle based artificial bee colony algorithm for dynamic environment
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
Multipopulation based differential evolution with self exploitation strategy
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
Dynamic evolutionary membrane algorithm in dynamic environments
EvoCOP'13 Proceedings of the 13th European conference on Evolutionary Computation in Combinatorial Optimization
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Information sharing in bee colony for detecting multiple niches in non-stationary environments
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
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In the real world, many optimization problems are dynamic. This requires an optimization algorithm to not only find the global optimal solution under a specific environment but also to track the trajectory of the changing optima over dynamic environments. To address this requirement, this paper investigates a clustering particle swarm optimizer (PSO) for dynamic optimization problems. This algorithm employs a hierarchical clustering method to locate and track multiple peaks. A fast local search method is also introduced to search optimal solutions in a promising subregion found by the clustering method. Experimental study is conducted based on the moving peaks benchmark to test the performance of the clustering PSO in comparison with several state-of-the-art algorithms from the literature. The experimental results show the efficiency of the clustering PSO for locating and tracking multiple optima in dynamic environments in comparison with other particle swarm optimization models based on the multiswarm method.