ASBSO: An Improved Brain Storm Optimization With Flexible Search Length and Memory-Based Selection
暂无分享,去创建一个
Jiujun Cheng | Yang Yu | Shangce Gao | Yuki Todo | Yirui Wang | Shangce Gao | Jiujun Cheng | Yuki Todo | Yang Yu | Yirui Wang
[1] Xin Yao,et al. Evolutionary programming made faster , 1999, IEEE Trans. Evol. Comput..
[2] Hao Gao,et al. An improved artificial bee colony and its application , 2016, Knowl. Based Syst..
[3] P. N. Suganthan,et al. Problem Definitions and Evaluation Criteria for CEC 2011 Competition on Testing Evolutionary Algorithms on Real World Optimization Problems , 2011 .
[4] Yang Yu,et al. The discovery of population interaction with a power law distribution in brain storm optimization , 2019, Memetic Comput..
[5] Ke Tang,et al. History-Based Topological Speciation for Multimodal Optimization , 2015, IEEE Transactions on Evolutionary Computation.
[6] Yali Wu,et al. Modified Brain Storm Optimization Algorithm for Multimodal Optimization , 2014, ICSI.
[7] Yang Yu,et al. CBSO: a memetic brain storm optimization with chaotic local search , 2018, Memetic Comput..
[8] Pei-Chann Chang,et al. A multi-objective artificial bee colony algorithm for parallel batch-processing machine scheduling in fabric dyeing processes , 2017, Knowl. Based Syst..
[9] 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 .
[10] Yuhui Shi,et al. Predator–Prey Brain Storm Optimization for DC Brushless Motor , 2013, IEEE Transactions on Magnetics.
[11] Yudong Zhang,et al. A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications , 2015 .
[12] Xianneng Li,et al. Artificial bee colony algorithm with memory , 2016, Appl. Soft Comput..
[13] Haibin Duan,et al. Receding horizon control for multiple UAV formation flight based on modified brain storm optimization , 2014, Nonlinear Dynamics.
[14] Yuhui Shi,et al. Population Diversity Maintenance In Brain Storm Optimization Algorithm , 2014, J. Artif. Intell. Soft Comput. Res..
[15] Cong Li,et al. Information granulation-based fuzzy RBFNN for image fusion based on chaotic brain storm optimization , 2015 .
[16] Riccardo Poli,et al. Particle swarm optimization , 1995, Swarm Intelligence.
[17] Yang Yu,et al. Multiple Chaos Embedded Gravitational Search Algorithm , 2017, IEICE Trans. Inf. Syst..
[18] Yuhui Shi,et al. Brain storm optimization algorithm in objective space , 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).
[19] 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.
[20] Carlos García-Martínez,et al. Memetic Algorithms for Continuous Optimisation Based on Local Search Chains , 2010, Evolutionary Computation.
[21] Jing J. Liang,et al. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization , 2005 .
[22] Haibin Duan,et al. Quantum-Behaved Brain Storm Optimization Approach to Solving Loney’s Solenoid Problem , 2015, IEEE Transactions on Magnetics.
[23] Hossein Nezamabadi-pour,et al. GSA: A Gravitational Search Algorithm , 2009, Inf. Sci..
[24] Jiujun Cheng,et al. Understanding differential evolution: A Poisson law derived from population interaction network , 2017, J. Comput. Sci..
[25] Francisco Herrera,et al. Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power , 2010, Inf. Sci..
[26] Jouni Lampinen,et al. A Fuzzy Adaptive Differential Evolution Algorithm , 2005, Soft Comput..
[27] Hang Yu,et al. Self-Adaptive Gravitational Search Algorithm With a Modified Chaotic Local Search , 2017, IEEE Access.
[28] Junfeng Chen,et al. Brain storm optimization algorithm: a review , 2016, Artificial Intelligence Review.
[29] Janez Brest,et al. Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems , 2006, IEEE Transactions on Evolutionary Computation.
[30] Weiwei Zhang,et al. Cooperative Differential Evolution With Multiple Populations for Multiobjective Optimization , 2016, IEEE Transactions on Cybernetics.
[31] Yanqiu Sun,et al. A Hybrid Approach by Integrating Brain Storm Optimization Algorithm with Grey Neural Network for Stock Index Forecasting , 2014 .
[32] Andrew Lewis,et al. The Whale Optimization Algorithm , 2016, Adv. Eng. Softw..
[33] P. N. Suganthan,et al. Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization , 2009, IEEE Transactions on Evolutionary Computation.
[34] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[35] Francisco Herrera,et al. A study on the use of statistical tests for experimentation with neural networks: Analysis of parametric test conditions and non-parametric tests , 2007, Expert Syst. Appl..
[36] Yiqiao Cai,et al. Differential Evolution Enhanced With Multiobjective Sorting-Based Mutation Operators , 2014, IEEE Transactions on Cybernetics.
[37] Yuhui Shi,et al. Multi-Objective Optimization Based on Brain Storm Optimization Algorithm , 2013, Int. J. Swarm Intell. Res..
[38] Ping Ma,et al. A stability constrained adaptive alpha for gravitational search algorithm , 2018, Knowl. Based Syst..
[39] V. Tereshko,et al. Collective Decision-Making in Honey Bee Foraging Dynamics , 2005 .
[40] Kedar Nath Das,et al. A robust memory based hybrid differential evolution for continuous optimization problem , 2016, Knowl. Based Syst..
[41] Seyedali Mirjalili,et al. SCA: A Sine Cosine Algorithm for solving optimization problems , 2016, Knowl. Based Syst..
[42] Yuhui Shi,et al. Brain Storm Optimization Algorithm , 2011, ICSI.
[43] Yan Wang,et al. Gravitational search algorithm combined with chaos for unconstrained numerical optimization , 2014, Appl. Math. Comput..
[44] Mohammed El-Abd,et al. Global-best brain storm optimization algorithm , 2017, Swarm Evol. Comput..
[45] Jing Xin,et al. An Adaptive Brain Storm Optimization Algorithm for Multiobjective Optimization Problems , 2015, ICSI.
[46] Jiujun Cheng,et al. Ant colony optimization with clustering for solving the dynamic location routing problem , 2016, Appl. Math. Comput..
[47] Yiqiao Cai,et al. Differential Evolution With Neighborhood and Direction Information for Numerical Optimization , 2013, IEEE Transactions on Cybernetics.
[48] Qin Jin,et al. A hybrid approach based on stochastic competitive Hopfield neural network and efficient genetic algorithm for frequency assignment problem , 2016, Appl. Soft Comput..