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CEC
2009
IEEE
13 years 11 months ago
A clustering particle swarm optimizer for dynamic optimization
Abstract—In the real world, many applications are nonstationary optimization problems. This requires that optimization algorithms need to not only find the global optimal soluti...
Changhe Li, Shengxiang Yang
TEC
2010
171views more  TEC 2010»
12 years 11 months ago
A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments
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 als...
Shengxiang Yang, Changhe Li
GECCO
2007
Springer
199views Optimization» more  GECCO 2007»
13 years 11 months ago
Multi-objective particle swarm optimization on computer grids
Abstract. In recent years, a number of authors have successfully extended particle swarm optimization to problem domains with multiple objectives. This paper addresses the issue of...
Sanaz Mostaghim, Jürgen Branke, Hartmut Schme...
GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
13 years 5 months ago
Particle swarm clustering ensemble
Extracting natural groups of the unlabeled data is known as clustering. To improve the stability and robustness of the clustering outputs, clustering ensembles have emerged recent...
Abbas Ahmadi, Fakhri Karray, Mohamed Kamel
EVOW
2008
Springer
13 years 6 months ago
Compound Particle Swarm Optimization in Dynamic Environments
Adaptation to dynamic optimization problems is currently receiving a growing interest as one of the most important applications of evolutionary algorithms. In this paper, a compoun...
Lili Liu, Dingwei Wang, Shengxiang Yang