SDE: a stochastic coding differential evolution for global optimization
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[1] Jun Zhang,et al. Implementation of a decoupled optimization technique for design of switching regulators using genetic algorithms , 2001 .
[2] Yong Lu,et al. A robust stochastic genetic algorithm (StGA) for global numerical optimization , 2004, IEEE Transactions on Evolutionary Computation.
[3] Nikolaus Hansen,et al. Adaptive Encoding: How to Render Search Coordinate System Invariant , 2008, PPSN.
[4] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[5] Marcus Gallagher,et al. On the importance of diversity maintenance in estimation of distribution algorithms , 2005, GECCO '05.
[6] Jun Zhang,et al. Clustering-Based Adaptive Crossover and Mutation Probabilities for Genetic Algorithms , 2007, IEEE Transactions on Evolutionary Computation.
[7] Arthur C. Sanderson,et al. JADE: Adaptive Differential Evolution With Optional External Archive , 2009, IEEE Transactions on Evolutionary Computation.
[8] Jing J. Liang,et al. Comprehensive learning particle swarm optimizer for global optimization of multimodal functions , 2006, IEEE Transactions on Evolutionary Computation.
[9] Jun Zhang,et al. An Ant Colony Optimization Approach to a Grid Workflow Scheduling Problem With Various QoS Requirements , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[10] P. N. Suganthan,et al. Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization , 2009, IEEE Transactions on Evolutionary Computation.
[11] Jun Zhang,et al. A Novel Set-Based Particle Swarm Optimization Method for Discrete Optimization Problems , 2010, IEEE Transactions on Evolutionary Computation.
[12] Jun Zhang,et al. Adaptive multi-objective differential evolution with stochastic coding strategy , 2011, GECCO '11.
[13] Jun Zhang,et al. SamACO: Variable Sampling Ant Colony Optimization Algorithm for Continuous Optimization , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[14] Qingfu Zhang,et al. Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters , 2011, IEEE Transactions on Evolutionary Computation.
[15] P. N. Suganthan,et al. Differential Evolution: A Survey of the State-of-the-Art , 2011, IEEE Transactions on Evolutionary Computation.
[16] Massimiliano Vasile,et al. An Inflationary Differential Evolution Algorithm for Space Trajectory Optimization , 2011, IEEE Transactions on Evolutionary Computation.
[17] Nikolaus Hansen,et al. Completely Derandomized Self-Adaptation in Evolution Strategies , 2001, Evolutionary Computation.
[18] Jun Zhang,et al. Adaptive Particle Swarm Optimization , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[19] Marcus Gallagher,et al. Experimental results for the special session on real-parameter optimization at CEC 2005: a simple, continuous EDA , 2005, 2005 IEEE Congress on Evolutionary Computation.
[20] Jing J. Liang,et al. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization , 2005 .
[21] Janez Brest,et al. Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems , 2006, IEEE Transactions on Evolutionary Computation.
[22] Rainer Storn,et al. System design by constraint adaptation and differential evolution , 1999, IEEE Trans. Evol. Comput..
[23] K Krishnakumar,et al. Solving large parameter optimization problems using genetic algorithms , 1995 .
[24] Jun Zhang,et al. Evolutionary Computation Meets Machine Learning: A Survey , 2011, IEEE Computational Intelligence Magazine.