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Multi-Objective Differential Evolution for Automatic Clustering with Application to Micro-Array Data Analysis.

, , , , , and . Sensors, 9 (5): 3981-4004 (2009)

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An Adaptive Particle Swarm Optimizer Using Balanced Explorative and Exploitative Behaviors., , , , and . SYNASC, page 543-550. IEEE Computer Society, (2008)Multi-objective optimization with artificial weed colonies., , , , , and . Inf. Sci., 181 (12): 2441-2454 (2011)Automatic Clustering Using a Synergy of Genetic Algorithm and Multi-objective Differential Evolution., , , , , and . HAIS, volume 5572 of Lecture Notes in Computer Science, page 177-186. Springer, (2009)Automatic clustering with multi-objective Differential Evolution algorithms., , , , and . IEEE Congress on Evolutionary Computation, page 2590-2597. IEEE, (2009)Design of Optimal Digital IIR Filters by using a Bandwidth Adaptive Harmony Search Algorithm., , , , and . NaBIC, page 481-486. IEEE, (2009)IWO with Increased Deviation and Stochastic Selection (IWO-ID-SS) for Global Optimization of Noisy Fitness Functions., , , , and . NaBIC, page 215-220. IEEE, (2009)An inertia-adaptive particle swarm system with particle mobility factor for improved global optimization., , , , , and . Neural Comput. Appl., 21 (2): 237-250 (2012)On Some Properties of the lbest Topology in Particle Swarm Optimization., , , , , , and . HIS (3), page 370-375. IEEE Computer Society, (2009)Data Clustering Using Multi-objective Differential Evolution Algorithms., , , , and . Fundam. Informaticae, 97 (4): 381-403 (2009)Inter-particle communication and search-dynamics of lbest particle swarm optimizers: An analysis., , , , and . Inf. Sci., 182 (1): 156-168 (2012)