For Peer Review An Adaptive Multi-Population Framework for Locating and Tracking Multiple Optima

[1]  Peter J. Bentley,et al.  Dynamic Search With Charged Swarms , 2002, GECCO.

[2]  Xiaodong Li,et al.  A particle swarm model for tracking multiple peaks in a dynamic environment using speciation , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

[3]  Mohammad Reza Meybodi,et al.  Adaptive Particle Swarm Optimization Algorithm in Dynamic Environments , 2011, 2011 Third International Conference on Computational Intelligence, Modelling & Simulation.

[4]  Arvind S. Mohais,et al.  DynDE: a differential evolution for dynamic optimization problems , 2005, 2005 IEEE Congress on Evolutionary Computation.

[5]  Salwani Abdullah,et al.  A multi-population harmony search algorithm with external archive for dynamic optimization problems , 2014, Inf. Sci..

[6]  Changhe Li,et al.  Fast Multi-Swarm Optimization for Dynamic Optimization Problems , 2008, 2008 Fourth International Conference on Natural Computation.

[7]  Xiaodong Li,et al.  Adaptively choosing niching parameters in a PSO , 2006, GECCO.

[8]  Michael G. Epitropakis,et al.  Finding multiple global optima exploiting differential evolution's niching capability , 2011, 2011 IEEE Symposium on Differential Evolution (SDE).

[9]  Hartmut Schmeck,et al.  Designing evolutionary algorithms for dynamic optimization problems , 2003 .

[10]  Zong Woo Geem,et al.  A New Heuristic Optimization Algorithm: Harmony Search , 2001, Simul..

[11]  Mohammad Reza Meybodi,et al.  A hibernating multi-swarm optimization algorithm for dynamic environments , 2010, 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC).

[12]  Jürgen Branke,et al.  Multi-swarm Optimization in Dynamic Environments , 2004, EvoWorkshops.

[13]  Hinrich Schütze,et al.  Introduction to information retrieval , 2008 .

[14]  Mohammad Reza Meybodi,et al.  mNAFSA: A novel approach for optimization in dynamic environments with global changes , 2014, Swarm Evol. Comput..

[15]  Yi Jiang,et al.  Applying Multi-Swarm Accelerating Particle Swarm Optimization to Dynamic Continuous Functions , 2009, 2009 Second International Workshop on Knowledge Discovery and Data Mining.

[16]  El-Ghazali Talbi,et al.  Multi-environmental cooperative parallel metaheuristics for solving dynamic optimization problems , 2012, The Journal of Supercomputing.

[17]  Andries Petrus Engelbrecht,et al.  Niching for Dynamic Environments Using Particle Swarm Optimization , 2006, SEAL.

[18]  Ian Jenkinson,et al.  Solving dynamic optimisation problems by combining evolutionary algorithms with KD-tree , 2013, 2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR).

[19]  Ming Yang,et al.  Differential Evolution With Auto-Enhanced Population Diversity , 2015, IEEE Transactions on Cybernetics.

[20]  Andries Petrus Engelbrecht,et al.  Cooperative particle swarm optimization in dynamic environments , 2013, 2013 IEEE Symposium on Swarm Intelligence (SIS).

[21]  Peter J. Bentley,et al.  Don't push me! Collision-avoiding swarms , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[22]  Ming Yang,et al.  An Adaptive Multi-Swarm Optimizer for Dynamic Optimization Problems , 2014, Evolutionary Computation.

[23]  Jürgen Branke,et al.  Memory enhanced evolutionary algorithms for changing optimization problems , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[24]  Rasmus K. Ursem,et al.  Multinational GAs: Multimodal Optimization Techniques in Dynamic Environments , 2000, GECCO.

[25]  Xiaodong Li,et al.  Benchmark Functions for CEC'2013 Special Session and Competition on Niching Methods for Multimodal Function Optimization' , 2013 .

[26]  Swagatam Das,et al.  Cluster-based differential evolution with Crowding Archive for niching in dynamic environments , 2014, Inf. Sci..

[27]  Shengxiang Yang,et al.  Evolutionary dynamic optimization: A survey of the state of the art , 2012, Swarm Evol. Comput..

[28]  Swagatam Das,et al.  A Cluster-Based Differential Evolution Algorithm With External Archive for Optimization in Dynamic Environments , 2013, IEEE Transactions on Cybernetics.

[29]  Tim Blackwell,et al.  Particle Swarm Optimization in Dynamic Environments , 2007, Evolutionary Computation in Dynamic and Uncertain Environments.

[30]  Changhe Li,et al.  A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments , 2010, IEEE Transactions on Evolutionary Computation.

[31]  René Thomsen,et al.  Multimodal optimization using crowding-based differential evolution , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

[32]  Dumitru Dumitrescu,et al.  A collaborative model for tracking optima in dynamic environments , 2007, 2007 IEEE Congress on Evolutionary Computation.

[33]  David A. Pelta,et al.  Using heuristic rules to enhance a multiswarm PSO for dynamic environments , 2010, IEEE Congress on Evolutionary Computation.

[34]  Na Wang,et al.  Multi-swarm optimization algorithm for dynamic optimization problems using forking , 2008, 2008 Chinese Control and Decision Conference.

[35]  Mohammad Reza Meybodi,et al.  novel multi-swarm algorithm for optimization in dynamic environments based n particle swarm optimization , 2013 .

[36]  A. Engelbrecht,et al.  Using vector operations to identify niches for particle swarm optimization , 2004, IEEE Conference on Cybernetics and Intelligent Systems, 2004..

[37]  Hong Liu,et al.  A Cooperative Dual-swarm PSO for dynamic optimization problems , 2011, 2011 Seventh International Conference on Natural Computation.

[38]  Shengxiang Yang,et al.  Particle Swarm Optimization With Composite Particles in Dynamic Environments , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).