An Efficient Recursive Differential Grouping for Large-Scale Continuous Problems
暂无分享,去创建一个
Xin Yao | Ming Yang | Aimin Zhou | Changhe Li | Aimin Zhou | Xin Yao | X. Yao | Aimin Zhou | Changhe Li | Ming Yang
[1] Francisco Herrera,et al. SHADE with Iterative Local Search for Large-Scale Global Optimization , 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).
[2] Francisco Herrera,et al. MA-SW-Chains: Memetic algorithm based on local search chains for large scale continuous global optimization , 2010, IEEE Congress on Evolutionary Computation.
[3] G. Gary Wang,et al. Survey of modeling and optimization strategies to solve high-dimensional design problems with computationally-expensive black-box functions , 2010 .
[4] Yaochu Jin,et al. A Competitive Swarm Optimizer for Large Scale Optimization , 2015, IEEE Transactions on Cybernetics.
[5] Wei-neng Chen,et al. Cooperation coevolution with fast interdependency identification for large scale optimization , 2017, Inf. Sci..
[6] Xiaodong Li,et al. Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization , 2017, IEEE Transactions on Evolutionary Computation.
[7] Ke Tang,et al. Impact of problem decomposition on Cooperative Coevolution , 2013, 2013 IEEE Congress on Evolutionary Computation.
[8] Xin Yao,et al. A Parallel Divide-and-Conquer-Based Evolutionary Algorithm for Large-Scale Optimization , 2018, IEEE Access.
[9] Saman K. Halgamuge,et al. A Recursive Decomposition Method for Large Scale Continuous Optimization , 2018, IEEE Transactions on Evolutionary Computation.
[10] Xiaodong Li,et al. DG2: A Faster and More Accurate Differential Grouping for Large-Scale Black-Box Optimization , 2017, IEEE Transactions on Evolutionary Computation.
[11] Xin Yao,et al. Scaling Up Dynamic Optimization Problems: A Divide-and-Conquer Approach , 2020, IEEE Transactions on Evolutionary Computation.
[12] Xiaodong Li,et al. Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition , 2018, GECCO.
[13] Jfirgen Schmidhuber,et al. A GENERAL METHOD FOR MULTI-AGENT REINFORCEMENT LEARNING IN UNRESTRICTED ENVIRONMENTS , 1996 .
[14] Xiaodong Li,et al. A Competitive Divide-and-Conquer Algorithm for Unconstrained Large-Scale Black-Box Optimization , 2016, ACM Trans. Math. Softw..
[15] Xingguang Peng,et al. Identifying Variables Interaction for Black-box Continuous Optimization with Mutual Information of Multiple Local Optima , 2019, 2019 IEEE Symposium Series on Computational Intelligence (SSCI).
[16] Handing Wang,et al. Multimodal Optimization Enhanced Cooperative Coevolution for Large-Scale Optimization , 2019, IEEE Transactions on Cybernetics.
[17] Xingguang Peng,et al. Large-scale cooperative co-evolution using niching-based multi-modal optimization and adaptive fast clustering , 2017, Swarm Evol. Comput..
[18] P. Benner,et al. Solving large-scale control problems , 2004, IEEE Control Systems.
[19] Xiaodong Li,et al. Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization , 2014, IEEE Transactions on Evolutionary Computation.
[20] Yaochu Jin,et al. A dynamic optimization approach to the design of cooperative co-evolutionary algorithms , 2016, Knowl. Based Syst..
[21] X. Yao,et al. Scaling up fast evolutionary programming with cooperative coevolution , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[22] Xiaodong Li,et al. Designing benchmark problems for large-scale continuous optimization , 2015, Inf. Sci..
[23] Raymond Chiong,et al. Evolutionary Optimization: Pitfalls and Booby Traps , 2012, Journal of Computer Science and Technology.
[24] Timoteo Carletti,et al. A Surrogate-Assisted Cooperative Co-evolutionary Algorithm Using Recursive Differential Grouping as Decomposition Strategy , 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).
[25] Haiyan Liu,et al. Empirical study of effect of grouping strategies for large scale optimization , 2016, 2016 International Joint Conference on Neural Networks (IJCNN).
[26] Nikolaus Hansen,et al. The CMA Evolution Strategy: A Tutorial , 2016, ArXiv.
[27] Antonio LaTorre,et al. Large scale global optimization: Experimental results with MOS-based hybrid algorithms , 2013, 2013 IEEE Congress on Evolutionary Computation.
[28] Ming Yang,et al. CCFR2: A more efficient cooperative co-evolutionary framework for large-scale global optimization , 2020, Inf. Sci..
[29] Kenneth A. De Jong,et al. A Cooperative Coevolutionary Approach to Function Optimization , 1994, PPSN.
[30] Andreas T. Ernst,et al. Decomposition for Large-scale Optimization Problems with Overlapping Components , 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).
[31] Ponnuthurai Nagaratnam Suganthan,et al. Benchmark Functions for the CEC'2013 Special Session and Competition on Large-Scale Global Optimization , 2008 .
[32] Antonio LaTorre,et al. A comprehensive comparison of large scale global optimizers , 2015, Inf. Sci..