Neighborhood-adaptive differential evolution for global numerical optimization
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Hui Tian | Yiqiao Cai | Jiahai Wang | Tian Wang | Guo Sun | Yonghong Chen | Jiahai Wang | Yonghong Chen | Tian Wang | Yiqiao Cai | H. Tian | Guo Sun
[1] Yiqiao Cai,et al. Differential evolution with hybrid linkage crossover , 2015, Inf. Sci..
[2] Amer Draa,et al. A sinusoidal differential evolution algorithm for numerical optimisation , 2015, Appl. Soft Comput..
[3] Alex S. Fukunaga,et al. Evaluating the performance of SHADE on CEC 2013 benchmark problems , 2013, 2013 IEEE Congress on Evolutionary Computation.
[4] Wei Luo,et al. Adaptive direction information in differential evolution for numerical optimization , 2016, Soft Comput..
[5] 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).
[6] Min-Yuan Cheng,et al. Hybrid multiple objective artificial bee colony with differential evolution for the time-cost-quality tradeoff problem , 2015, Knowl. Based Syst..
[7] Hitoshi Iba,et al. Cellular Differential Evolution Algorithm , 2010, Australasian Conference on Artificial Intelligence.
[8] Souvik Kundu,et al. Differential Evolution with a Relational Neighbourhood-Based Strategy for Numerical Optimization , 2012, SEMCCO.
[9] Zhigang Shang,et al. Memetic differential evolution based on fitness Euclidean-distance ratio , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[10] Mohammad Reza Meybodi,et al. CellularDE: A Cellular Based Differential Evolution for Dynamic Optimization Problems , 2011, ICANNGA.
[11] Athanasios V. Vasilakos,et al. Information sharing in bee colony for detecting multiple niches in non-stationary environments , 2013, GECCO.
[12] Jouni Lampinen,et al. A Trigonometric Mutation Operation to Differential Evolution , 2003, J. Glob. Optim..
[13] Ponnuthurai N. Suganthan,et al. Synchronizing Differential Evolution with a modified affinity-based mutation framework , 2013, 2013 IEEE Symposium on Differential Evolution (SDE).
[14] Jing Xiao,et al. Classification-based self-adaptive differential evolution with fast and reliable convergence performance , 2011, Soft Comput..
[15] Adam P. Piotrowski,et al. Adaptive Memetic Differential Evolution with Global and Local neighborhood-based mutation operators , 2013, Inf. Sci..
[16] M.M.A. Salama,et al. Opposition-Based Differential Evolution , 2008, IEEE Transactions on Evolutionary Computation.
[17] Dimitris K. Tasoulis,et al. A Review of Major Application Areas of Differential Evolution , 2008 .
[18] P. N. Suganthan,et al. Differential Evolution: A Survey of the State-of-the-Art , 2011, IEEE Transactions on Evolutionary Computation.
[19] Yuren Zhou,et al. Differential evolution with guiding archive for global numerical optimization , 2016, Appl. Soft Comput..
[20] Yiqiao Cai,et al. Differential Evolution With Neighborhood and Direction Information for Numerical Optimization , 2013, IEEE Transactions on Cybernetics.
[21] Yonghong Chen,et al. Cellular direction information based differential evolution for numerical optimization: an empirical study , 2016, Soft Comput..
[22] Ivanoe De Falco,et al. Impact of the Topology on the Performance of Distributed Differential Evolution , 2014, EvoApplications.
[23] Alex S. Fukunaga,et al. Success-history based parameter adaptation for Differential Evolution , 2013, 2013 IEEE Congress on Evolutionary Computation.
[24] Xinye Cai,et al. An improved memetic algorithm using ring neighborhood topology for constrained optimization , 2014, Soft Comput..
[25] Xin Yao,et al. Evolutionary programming made faster , 1999, IEEE Trans. Evol. Comput..
[26] Zhao Yang Dong,et al. Power system fault diagnosis based on history driven differential evolution and stochastic time domain simulation , 2014, Inf. Sci..
[27] Yiqiao Cai,et al. Learning-enhanced differential evolution for numerical optimization , 2012, Soft Comput..
[28] Swagatam Das,et al. An Improved Parent-Centric Mutation With Normalized Neighborhoods for Inducing Niching Behavior in Differential Evolution , 2014, IEEE Transactions on Cybernetics.
[29] David E. Goldberg,et al. Probability Matching, the Magnitude of Reinforcement, and Classifier System Bidding , 1990, Machine Learning.
[30] R. Storn,et al. Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series) , 2005 .
[31] M. Frank Norman,et al. Probability matching , 1966 .
[32] Yu-Xuan Wang,et al. Exploring new learning strategies in Differential Evolution algorithm , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[33] Shiu Yin Yuen,et al. A directional mutation operator for differential evolution algorithms , 2015, Appl. Soft Comput..
[34] Pascal Bouvry,et al. Improving Classical and Decentralized Differential Evolution With New Mutation Operator and Population Topologies , 2011, IEEE Transactions on Evolutionary Computation.
[35] Amit Konar,et al. Differential Evolution Using a Neighborhood-Based Mutation Operator , 2009, IEEE Transactions on Evolutionary Computation.
[36] Giovanni Iacca,et al. Disturbed Exploitation compact Differential Evolution for limited memory optimization problems , 2011, Inf. Sci..
[37] Sahand Ghavidel,et al. Modified teaching learning algorithm and double differential evolution algorithm for optimal reactive power dispatch problem: A comparative study , 2014, Inf. Sci..
[38] Peter Auer,et al. Finite-time Analysis of the Multiarmed Bandit Problem , 2002, Machine Learning.
[39] Alex S. Fukunaga,et al. Improving the search performance of SHADE using linear population size reduction , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[40] Giovanni Iacca,et al. A CMA-ES super-fit scheme for the re-sampled inheritance search , 2013, 2013 IEEE Congress on Evolutionary Computation.
[41] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[42] Francisco Herrera,et al. A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization , 2009, J. Heuristics.
[43] 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 .
[44] Yu Sun,et al. A Novel Differential Evolution Algorithm with Adaptive of Population Topology , 2012, ICICA.
[45] István Erlich,et al. Hybrid Mean-Variance Mapping Optimization for solving the IEEE-CEC 2013 competition problems , 2013, 2013 IEEE Congress on Evolutionary Computation.
[46] Swagatam Das,et al. An Adaptive Clustering and Re-clustering Based Crowding Differential Evolution for Continuous Multi-modal Optimization , 2015 .
[47] Stefan Janaqi,et al. Generalization of the strategies in differential evolution , 2004, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings..
[48] Swagatam Das,et al. Inducing Niching Behavior in Differential Evolution Through Local Information Sharing , 2015, IEEE Transactions on Evolutionary Computation.
[49] 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..
[50] Arthur C. Sanderson,et al. JADE: Adaptive Differential Evolution With Optional External Archive , 2009, IEEE Transactions on Evolutionary Computation.
[51] Jie Chen,et al. Hybridizing Differential Evolution and Particle Swarm Optimization to Design Powerful Optimizers: A Review and Taxonomy , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[52] Wenyin Gong,et al. Differential Evolution With Ranking-Based Mutation Operators , 2013, IEEE Transactions on Cybernetics.
[53] Ruhul A. Sarker,et al. A genetic algorithm for solving the CEC'2013 competition problems on real-parameter optimization , 2013, 2013 IEEE Congress on Evolutionary Computation.
[54] Hui Tian,et al. Differential Evolution Enhanced with Composite Population Information Based Mutation Operators , 2015 .
[55] Yiqiao Cai,et al. Differential Evolution Enhanced With Multiobjective Sorting-Based Mutation Operators , 2014, IEEE Transactions on Cybernetics.
[56] Ville Tirronen,et al. Recent advances in differential evolution: a survey and experimental analysis , 2010, Artificial Intelligence Review.
[57] Dirk Thierens,et al. An Adaptive Pursuit Strategy for Allocating Operator Probabilities , 2005, BNAIC.
[58] Silvestre Fialho,et al. Adaptive operator selection for optimization , 2010 .
[59] Hui Li,et al. Adaptive strategy selection in differential evolution for numerical optimization: An empirical study , 2011, Inf. Sci..
[60] M. M. Ali,et al. Differential evolution algorithms using hybrid mutation , 2007, Comput. Optim. Appl..
[61] Ponnuthurai N. Suganthan,et al. An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[62] Francisco Herrera,et al. A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability , 2009, Soft Comput..
[63] Andries Petrus Engelbrecht,et al. A self-adaptive heterogeneous pso for real-parameter optimization , 2013, 2013 IEEE Congress on Evolutionary Computation.
[64] Qingfu Zhang,et al. Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters , 2011, IEEE Transactions on Evolutionary Computation.
[65] Ville Tirronen,et al. A study on scale factor in distributed differential evolution , 2011, Inf. Sci..
[66] Swagatam Das,et al. Cluster-based differential evolution with Crowding Archive for niching in dynamic environments , 2014, Inf. Sci..
[67] Jing J. Liang,et al. Differential evolution based on fitness Euclidean-distance ratio for multimodal optimization , 2014, Neurocomputing.
[68] Ning Xiong,et al. Greedy adaptation of control parameters in differential evolution for global optimization problems , 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).
[69] P. N. Suganthan,et al. Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization , 2009, IEEE Transactions on Evolutionary Computation.
[70] Yiqiao Cai,et al. Multiobjective evolutionary algorithm for frequency assignment problem in satellite communications , 2015, Soft Comput..
[71] Jing J. Liang,et al. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization , 2005 .
[72] Janez Brest,et al. Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems , 2006, IEEE Transactions on Evolutionary Computation.
[73] J. Kennedy,et al. Neighborhood topologies in fully informed and best-of-neighborhood particle swarms , 2003, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[74] Dimitris K. Tasoulis,et al. Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators , 2011, IEEE Transactions on Evolutionary Computation.
[75] P. N. Suganthan,et al. Problem Definitions and Evaluation Criteria for CEC 2011 Competition on Testing Evolutionary Algorithms on Real World Optimization Problems , 2011 .
[76] James Kennedy,et al. Small worlds and mega-minds: effects of neighborhood topology on particle swarm performance , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).