A Modified Cloud Particles Differential Evolution Algorithm for Real-Parameter Optimization
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[1] Andrew Lewis,et al. The Whale Optimization Algorithm , 2016, Adv. Eng. Softw..
[2] John R. Koza,et al. Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.
[3] Tapabrata Ray,et al. An adaptive hybrid differential evolution algorithm for single objective optimization , 2014, Appl. Math. Comput..
[4] Adam P. Piotrowski,et al. Adaptive Memetic Differential Evolution with Global and Local neighborhood-based mutation operators , 2013, Inf. Sci..
[5] M.M.A. Salama,et al. Opposition-Based Differential Evolution , 2008, IEEE Transactions on Evolutionary Computation.
[6] P. N. Suganthan,et al. Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization , 2009, IEEE Transactions on Evolutionary Computation.
[7] Emiliano Carreño Jara. Multi-Objective Optimization by Using Evolutionary Algorithms: The $p$-Optimality Criteria , 2014, IEEE Trans. Evol. Comput..
[8] Ali R. Yildiz,et al. A new hybrid differential evolution algorithm for the selection of optimal machining parameters in milling operations , 2013, Appl. Soft Comput..
[9] Chunmei Zhang,et al. Distributed memetic differential evolution with the synergy of Lamarckian and Baldwinian learning , 2013, Appl. Soft Comput..
[10] Swagatam Das,et al. Automatic Clustering Using an Improved Differential Evolution Algorithm , 2007 .
[11] Shoufeng Ma,et al. hABCDE: A hybrid evolutionary algorithm based on artificial bee colony algorithm and differential evolution , 2014, Appl. Math. Comput..
[12] Dan Simon,et al. Biogeography-Based Optimization , 2022 .
[13] Tapabrata Ray,et al. Evolutionary Algorithms for Dynamic Economic Dispatch Problems , 2016, IEEE Transactions on Power Systems.
[14] Laizhong Cui,et al. Adaptive differential evolution algorithm with novel mutation strategies in multiple sub-populations , 2016, Comput. Oper. Res..
[15] J. Miller,et al. Guidelines: From artificial evolution to computational evolution: a research agenda , 2006, Nature Reviews Genetics.
[16] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[17] Shahryar Rahnamayan,et al. Opposition versus randomness in soft computing techniques , 2008, Appl. Soft Comput..
[18] Antonin Ponsich,et al. A hybrid Differential Evolution - Tabu Search algorithm for the solution of Job-Shop Scheduling Problems , 2013, Appl. Soft Comput..
[19] Alex S. Fukunaga,et al. Success-history based parameter adaptation for Differential Evolution , 2013, 2013 IEEE Congress on Evolutionary Computation.
[20] Nikolaus Hansen,et al. Completely Derandomized Self-Adaptation in Evolution Strategies , 2001, Evolutionary Computation.
[21] Qingfu Zhang,et al. An Efficient Evolutionary Algorithm for Chance-Constrained Bi-Objective Stochastic Optimization , 2013, IEEE Transactions on Evolutionary Computation.
[22] Arthur C. Sanderson,et al. JADE: Adaptive Differential Evolution With Optional External Archive , 2009, IEEE Transactions on Evolutionary Computation.
[23] MengChu Zhou,et al. Dual-Objective Scheduling of Rescue Vehicles to Distinguish Forest Fires via Differential Evolution and Particle Swarm Optimization Combined Algorithm , 2016, IEEE Transactions on Intelligent Transportation Systems.
[24] Maurice Clerc,et al. The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..
[25] Amit Konar,et al. Differential Evolution Using a Neighborhood-Based Mutation Operator , 2009, IEEE Transactions on Evolutionary Computation.
[26] R. Venkata Rao,et al. Teaching-Learning-Based Optimization: An optimization method for continuous non-linear large scale problems , 2012, Inf. Sci..
[27] Byung Ro Moon,et al. An empirical study on the synergy of multiple crossover operators , 2002, IEEE Trans. Evol. Comput..
[28] Ali R. Yildiz,et al. Hybrid Taguchi-differential evolution algorithm for optimization of multi-pass turning operations , 2013, Appl. Soft Comput..
[29] Carlos García-Martínez,et al. An alternative artificial bee colony algorithm with destructive-constructive neighbourhood operator for the problem of composing medical crews , 2016, Inf. Sci..
[30] Yu-Jun Zheng,et al. A hybrid fireworks optimization method with differential evolution operators , 2015, Neurocomputing.
[31] Quan-Ke Pan,et al. An effective co-evolutionary artificial bee colony algorithm for steelmaking-continuous casting scheduling , 2016, Eur. J. Oper. Res..
[32] Qingfu Zhang,et al. Enhancing the search ability of differential evolution through orthogonal crossover , 2012, Inf. Sci..
[33] Alex S. Fukunaga,et al. Improving the search performance of SHADE using linear population size reduction , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[34] Liang Gao,et al. A differential evolution algorithm with intersect mutation operator , 2013, Appl. Soft Comput..
[35] Yuhui Shi,et al. Brain Storm Optimization Algorithm , 2011, ICSI.
[36] David Naso,et al. Compact Differential Evolution , 2011, IEEE Transactions on Evolutionary Computation.
[37] Shyi-Ming Chen,et al. Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures , 2016, Inf. Sci..
[38] Dimitris K. Tasoulis,et al. Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators , 2011, IEEE Transactions on Evolutionary Computation.
[39] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[40] Carlos A. Coello Coello,et al. Improving the vector generation strategy of Differential Evolution for large-scale optimization , 2015, Inf. Sci..
[41] Yi Liu,et al. Memetic algorithm with simulated annealing strategy and tightness greedy optimization for community detection in networks , 2015, Appl. Soft Comput..
[42] Victor O. K. Li,et al. Chemical-Reaction-Inspired Metaheuristic for Optimization , 2010, IEEE Transactions on Evolutionary Computation.
[43] Wei Li,et al. Cloud Particles Differential Evolution Algorithm: A Novel Optimization Method for Global Numerical Optimization , 2015 .
[44] Xin Yao,et al. A new self-adaptation scheme for differential evolution , 2014, Neurocomputing.
[45] Jing J. Liang,et al. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization , 2005 .
[46] Swagatam Das,et al. An improved differential evolution algorithm with fitness-based adaptation of the control parameters , 2011, Inf. Sci..
[47] Janez Brest,et al. Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems , 2006, IEEE Transactions on Evolutionary Computation.
[48] Xuefeng Yan,et al. Self-adaptive differential evolution algorithm with discrete mutation control parameters , 2015, Expert Syst. Appl..
[49] Yang Wang,et al. Repairing the crossover rate in adaptive differential evolution , 2014, Appl. Soft Comput..
[50] Yuhui Shi,et al. Maintaining population diversity in brain storm optimization algorithm , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[51] Yang Tang,et al. Adaptive population tuning scheme for differential evolution , 2013, Inf. Sci..
[52] Qingfu Zhang,et al. Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters , 2011, IEEE Transactions on Evolutionary Computation.
[53] V. Cerný. Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm , 1985 .
[54] R. Venkata Rao,et al. Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems , 2011, Comput. Aided Des..
[55] Qingfu Zhang,et al. DE/EDA: A new evolutionary algorithm for global optimization , 2005, Inf. Sci..
[56] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .