Parallel chaos optimization algorithm with migration and merging operation

Yang, 2006, Convergence analysis of first order reliability method using chaos theory, Comput. Struct., 84, 563, 10.1016/j.compstruc.2005.11.009 Li, 1998, Optimizing complex function by chaos search, Cybern. Syst., 29, 409, 10.1080/019697298125678 Yang, 2007, On the efficiency of chaos optimization algorithms for global optimization, Chaos Solitons Fractals, 34, 1366, 10.1016/j.chaos.2006.04.057 Yuan, 2008, Parameter selection of support vector machine for function approximation based on chaos optimization, J. Syst. Eng. Electron., 19, 191, 10.1016/S1004-4132(08)60066-3 Tavazoei, 2007, Comparison of different one-dimensional maps as chaotic search pattern in chaos optimization algorithms, Appl. Math. Comput., 187, 1076, 10.1016/j.amc.2006.09.087 Zhu, 2012, An improved chaos optimization algorithm-based parameter identification of synchronous generator, Electr. Eng., 94, 147, 10.1007/s00202-011-0226-2 Hamaizia, 2012, Fast chaotic optimization algorithm based on locally averaged strategy and multifold chaotic attractor, Appl. Math. Comput., 219, 188, 10.1016/j.amc.2012.05.062 Okamoto, 2013, Global optimization using a multipoint type quasi-chaotic optimization method, Appl. Soft Comput., 13, 1247, 10.1016/j.asoc.2012.10.025 Yang, 2014, Chaos optimization algorithms based on chaotic maps with different probability distribution and search speed for global optimization, Commun. Nonlinear Sci. Numer. Simul., 19, 1229, 10.1016/j.cnsns.2013.08.017 Luo, 2008, Hybrid approach for solving systems of nonlinear equations using chaos optimization and quasi-Newton method, Appl. Soft Comput., 8, 1068, 10.1016/j.asoc.2007.05.013 Chen, 2013, A heuristic feature selection approach for text categorization by using chaos optimization and genetic algorithm, Math. Probl. Eng., 524017 Cheng, 2012, K-means particle swarm optimization with embedded chaotic search for solving multidimensional problems, Appl. Math. Comput., 219, 3091, 10.1016/j.amc.2012.09.039 Bouras, 2013, Hybrid chaos optimization and affine scaling search algorithm for solving linear programming problems, Appl. Soft Comput., 13, 2703, 10.1016/j.asoc.2012.11.017 Yang, 2012, Hybrid chaos optimization algorithm with artificial emotion, Appl. Math. Comput., 218, 6585, 10.1016/j.amc.2011.09.028 Pan, 2011, A chaotic harmony search algorithm for the flow shop scheduling problem with limited buffers, Appl. Soft Comput., 11, 5270, 10.1016/j.asoc.2011.05.033 Li, 2012, Chaotic ant swarm optimization with passive congregation, Nonlinear Dyn., 68, 129, 10.1007/s11071-011-0209-x Chuang, 2011, Chaotic maps based on binary particle swarm optimization for feature selection, Appl. Soft Comput., 11, 239, 10.1016/j.asoc.2009.11.014 Pluhacek, 2014, Particle swarm optimization algorithm driven by multichaotic number generator, Soft Comput., 18, 631, 10.1007/s00500-014-1222-z Caponetto, 2003, Chaotic sequences to improve the performance of evolutionary algorithms, IEEE Trans. Evol. Comput., 7, 289, 10.1109/TEVC.2003.810069 Arunkumar, 2013, Chaotic evolutionary algorithms for multi-reservoir optimization, Water Resour. Manag., 27, 5207 Kromer, 2014, Behaviour of pseudo-random and chaotic sources of stochasticity in nature-inspired optimization methods, Soft Comput., 18, 619, 10.1007/s00500-014-1223-y Ma, 2012, Chaotic populations in genetic algorithms, Appl. Soft Comput., 12, 2409, 10.1016/j.asoc.2012.03.001 Aydin, 2010, Chaotic-based hybrid negative selection algorithm and its applications in fault and anomaly detection, Expert Syst. Appl., 37, 5285, 10.1016/j.eswa.2010.01.011 Baykasoglu, 2012, Design optimization with chaos embedded great deluge algorithm, Appl. Soft Comput., 12, 1055, 10.1016/j.asoc.2011.11.018 Yuan, 2012, Improved parallel chaos optimization algorithm, Appl. Math. Comput., 219, 3590, 10.1016/j.amc.2012.09.053 Yuan, 2014, Hybrid parallel chaos optimization algorithm with harmony search algorithm, Appl. Soft Comput., 17, 12, 10.1016/j.asoc.2013.12.016 Karakose, 2013, QPSO-based adaptive DNA computing algorithm, Sci. World J., 10.1155/2013/160687 Thangaraj, 2011, Particle swarm optimization: hybridization perspectives and experimental illustrations, Appl. Math. Comput., 217, 5208, 10.1016/j.amc.2010.12.053 Igel, 2007, Covariance matrix adaptation for multi-objective optimization, Evol. Comput., 15, 1, 10.1162/evco.2007.15.1.1 Brest, 2006, Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems, IEEE Trans. Evol. Comput., 10, 646, 10.1109/TEVC.2006.872133 Qin, 2005, Self-adaptive differential evolution algorithm for numerical optimization, 1785 Askarzadeh, 2013, Artificial bee swarm optimization algorithm for parameters identification of solar cell models, Appl. Energy, 102, 943, 10.1016/j.apenergy.2012.09.052 AlHajri, 2012, Optimal extraction of solar cell parameters using pattern search, Renew. Energy, 44, 238, 10.1016/j.renene.2012.01.082 El-Naggar, 2012, Simulated annealing algorithm for photovoltaic parameters identification, Sol. Energy, 86, 266, 10.1016/j.solener.2011.09.032 He, 2007, Parameter estimation for chaotic systems by particle swarm optimization, Chaos Solitons Fractals, 34, 654, 10.1016/j.chaos.2006.03.079 Modares, 2010, Parameter identification of chaotic dynamic systems through an improved particle swarm optimization, Expert Syst. Appl., 37, 3714, 10.1016/j.eswa.2009.11.054 Ho, 2010, Parameter identification of chaotic systems using improved differential evolution algorithm, Nonlinear Dyn., 61, 29, 10.1007/s11071-009-9629-2 Wang, 2013, A novel image encryption algorithm using chaos and reversible cellular automata, Commun. Nonlinear Sci. Numer. Simul., 18, 3075, 10.1016/j.cnsns.2013.04.008