Identifying and exploiting the scale of a search space in particle swarm optimization
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[1] Xiaodong Li,et al. Adaptively choosing niching parameters in a PSO , 2006, GECCO.
[2] Sheng Chen,et al. Particle swarm optimization with thresheld convergence , 2013, 2013 IEEE Congress on Evolutionary Computation.
[3] Antonio Bolufé Röhler,et al. Differential evolution with thresheld convergence , 2013, 2013 IEEE Congress on Evolutionary Computation.
[4] Riccardo Poli,et al. Particle swarm optimization , 1995, Swarm Intelligence.
[5] Jürgen Branke,et al. Experimental Analysis of Bound Handling Techniques in Particle Swarm Optimization , 2013, IEEE Transactions on Evolutionary Computation.
[6] James Montgomery,et al. Identifying and exploiting the scale of a search space in differential evolution , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[7] Antonio Bolufé Röhler,et al. Minimum population search - Lessons from building a heuristic technique with two population members , 2013, 2013 IEEE Congress on Evolutionary Computation.
[8] Marjan Mernik,et al. Exploration and exploitation in evolutionary algorithms: A survey , 2013, CSUR.
[9] Frans van den Bergh,et al. A NICHING PARTICLE SWARM OPTIMIZER , 2002 .
[10] Heinz Mühlenbein,et al. The parallel genetic algorithm as function optimizer , 1991, Parallel Comput..
[11] Jing J. Liang,et al. Dynamic multi-swarm particle swarm optimizer with local search for Large Scale Global Optimization , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[12] Maurice Clerc,et al. The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..
[13] J. Kennedy. Stereotyping: improving particle swarm performance with cluster analysis , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).
[14] James Montgomery,et al. A simple strategy for maintaining diversity and reducing crowding in differential evolution , 2012, 2012 IEEE Congress on Evolutionary Computation.
[15] Peter J. Rousseeuw,et al. Finding Groups in Data: An Introduction to Cluster Analysis , 1990 .
[16] James Montgomery,et al. A simple strategy to maintain diversity and reduce crowding in particle swarm optimization , 2011, Australasian Conference on Artificial Intelligence.
[17] Jing J. Liang,et al. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization , 2005 .
[18] Tim Hendtlass,et al. WoSP: a multi-optima particle swarm algorithm , 2005, 2005 IEEE Congress on Evolutionary Computation.
[19] Frans van den Bergh,et al. An analysis of particle swarm optimizers , 2002 .
[20] Andries Petrus Engelbrecht,et al. Particle swarm optimization: Velocity initialization , 2012, 2012 IEEE Congress on Evolutionary Computation.
[21] James Kennedy,et al. Defining a Standard for Particle Swarm Optimization , 2007, 2007 IEEE Swarm Intelligence Symposium.