Ensemble sinusoidal differential covariance matrix adaptation with Euclidean neighborhood for solving CEC2017 benchmark problems
暂无分享,去创建一个
[1] Ruhul A. Sarker,et al. Testing united multi-operator evolutionary algorithms-II on single objective optimization problems , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).
[2] P. N. Suganthan,et al. Multi-population differential evolution with balanced ensemble of mutation strategies for large-scale global optimization , 2015, Appl. Soft Comput..
[3] Ponnuthurai N. Suganthan,et al. Differential evolution with stochastic fractal search algorithm for global numerical optimization , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).
[4] Qingfu Zhang,et al. Enhancing the search ability of differential evolution through orthogonal crossover , 2012, Inf. Sci..
[5] Ponnuthurai N. Suganthan,et al. Recent advances in differential evolution - An updated survey , 2016, Swarm Evol. Comput..
[6] Robert G. Reynolds,et al. A differential evolution algorithm with success-based parameter adaptation for CEC2015 learning-based optimization , 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).
[7] Alex S. Fukunaga,et al. Success-history based parameter adaptation for Differential Evolution , 2013, 2013 IEEE Congress on Evolutionary Computation.
[8] P. N. Suganthan,et al. Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization , 2009, IEEE Transactions on Evolutionary Computation.
[9] Alex S. Fukunaga,et al. Improving the search performance of SHADE using linear population size reduction , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[10] Jason Sheng-Hong Tsai,et al. A self-optimization approach for L-SHADE incorporated with eigenvector-based crossover and successful-parent-selecting framework on CEC 2015 benchmark set , 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).
[11] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[12] Long Li,et al. Differential evolution based on covariance matrix learning and bimodal distribution parameter setting , 2014, Appl. Soft Comput..
[13] Robert G. Reynolds,et al. An ensemble sinusoidal parameter adaptation incorporated with L-SHADE for solving CEC2014 benchmark problems , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).
[14] Ponnuthurai Nagaratnam Suganthan,et al. Problem Definitions and Evaluation Criteria for the CEC 2014 Special Session and Competition on Single Objective Real-Parameter Numerical Optimization , 2014 .
[15] Robert G. Reynolds,et al. An Adaptive Multipopulation Differential Evolution With Dynamic Population Reduction , 2017, IEEE Transactions on Cybernetics.
[16] István Erlich,et al. Evaluating the Mean-Variance Mapping Optimization on the IEEE-CEC 2014 test suite , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[17] Ponnuthurai N. Suganthan,et al. A decremental stochastic fractal differential evolution for global numerical optimization , 2016, Inf. Sci..
[18] Francisco Herrera,et al. A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms , 2011, Swarm Evol. Comput..
[19] Arthur C. Sanderson,et al. JADE: Adaptive Differential Evolution With Optional External Archive , 2009, IEEE Transactions on Evolutionary Computation.