A Gaussian Estimation of Distribution Algorithm With Random Walk Strategies and Its Application in Optimal Missile Guidance Handover for Multi-UCAV in Over-the-Horizon Air Combat
暂无分享,去创建一个
Xiaofei Wang | Hui Zhao | Zhenglei Wei | Tong Han | Yajun Liang | Yintong Li | Xiaofei Wang | Tong Han | Yintong Li | Zhenglei Wei | Hui Zhao | Yajun Liang
[1] Marcus Gallagher,et al. On the importance of diversity maintenance in estimation of distribution algorithms , 2005, GECCO '05.
[2] Xiaodong Li,et al. Seeking Multiple Solutions: An Updated Survey on Niching Methods and Their Applications , 2017, IEEE Transactions on Evolutionary Computation.
[3] G. Viswanathan,et al. Lévy flights and superdiffusion in the context of biological encounters and random searches , 2008 .
[4] Diao Xinghu. Method of guidance handover in midcourse guidance phase of air-to-air missile about cooperative multi-platform , 2014 .
[5] Jun Zhang,et al. Multimodal Estimation of Distribution Algorithms , 2017, IEEE Transactions on Cybernetics.
[6] Concha Bielza,et al. Regularized continuous estimation of distribution algorithms , 2013, Appl. Soft Comput..
[7] Xiao Bingsong. Cooperative Guidance Decision-Making in Air-to-Ground Attacking , 2011 .
[8] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[9] Jun Liu,et al. Variance analysis and adaptive control in intelligent system based on Gaussian model , 2013, Int. J. Model. Identif. Control..
[10] Rong Hu,et al. A copula-based hybrid estimation of distribution algorithm for m-machine reentrant permutation flow-shop scheduling problem , 2017, Appl. Soft Comput..
[11] Parham Pahlavani,et al. An efficient modified grey wolf optimizer with Lévy flight for optimization tasks , 2017, Appl. Soft Comput..
[12] Mohammad Mehdi Ebadzadeh,et al. Graphical model based continuous estimation of distribution algorithm , 2017, Appl. Soft Comput..
[13] Alex S. Fukunaga,et al. Improving the search performance of SHADE using linear population size reduction , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[14] Jason Sheng-Hong Tsai,et al. A self-optimization approach for L-SHADE incorporated with eigenvector-based crossover and successful-parent-selecting framework on CEC 2015 benchmark set , 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).
[15] Scott Klasky,et al. Personalized Search Inspired Fast Interactive Estimation of Distribution Algorithm and Its Application , 2017, IEEE Transactions on Evolutionary Computation.
[16] Ponnuthurai N. Suganthan,et al. Ensemble sinusoidal differential covariance matrix adaptation with Euclidean neighborhood for solving CEC2017 benchmark problems , 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).
[17] Dirk Thierens,et al. Benchmarking Parameter-Free AMaLGaM on Functions With and Without Noise , 2013, Evolutionary Computation.
[18] Roberto Santana,et al. Customized Selection in Estimation of Distribution Algorithms , 2014, SEAL.
[19] Dexing Zhong,et al. Enhance continuous estimation of distribution algorithm by variance enlargement and reflecting sampling , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).
[20] Dirk Thierens,et al. Enhancing the Performance of Maximum-Likelihood Gaussian EDAs Using Anticipated Mean Shift , 2008, PPSN.
[21] G. Wiselin Jiji,et al. An enhanced particle swarm optimization with levy flight for global optimization , 2016, Appl. Soft Comput..
[22] Lin Wang,et al. Inferior solutions in Gaussian EDA: Useless or useful? , 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).
[23] Huang Changqiang,et al. An optimization method: Hummingbirds optimization algorithm , 2018 .
[24] Robert G. Reynolds,et al. An ensemble sinusoidal parameter adaptation incorporated with L-SHADE for solving CEC2014 benchmark problems , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).
[25] Xin Yao,et al. Unified eigen analysis on multivariate Gaussian based estimation of distribution algorithms , 2008, Inf. Sci..
[26] Wang Yuan. The Technique for Air-to-Air Missile Guidance Superiority Handover Based on Particle Swarm Auction Hybrid Algorithm , 2013 .
[27] Huaglory Tianfield,et al. Biogeography-based learning particle swarm optimization , 2016, Soft Computing.
[28] R. Iman,et al. Approximations of the critical region of the fbietkan statistic , 1980 .
[29] Nicolas E. Humphries,et al. Scaling laws of marine predator search behaviour , 2008, Nature.
[30] Hui Zhao,et al. Cognitive behavior optimization algorithm for solving optimization problems , 2016, Appl. Soft Comput..
[31] Frederic Bartumeus,et al. ANIMAL SEARCH STRATEGIES: A QUANTITATIVE RANDOM‐WALK ANALYSIS , 2005 .
[32] Nikolaus Hansen,et al. Completely Derandomized Self-Adaptation in Evolution Strategies , 2001, Evolutionary Computation.
[33] Franz Rothlauf,et al. SDR: a better trigger for adaptive variance scaling in normal EDAs , 2007, GECCO '07.
[34] R. E. Lee,et al. Distribution-free multiple comparisons between successive treatments , 1995 .
[35] Zhiwen Yu,et al. Estimation of Distribution Algorithm for Autonomous Underwater Vehicles Path Planning , 2018, ISNN.
[36] Hui Zhao,et al. A novel nature-inspired algorithm for optimization: Virus colony search , 2016, Adv. Eng. Softw..
[37] P. A. Prince,et al. Lévy flight search patterns of wandering albatrosses , 1996, Nature.
[38] Xinnian Wang,et al. An estimation of distribution algorithm for scheduling problem of flexible manufacturing systems using Petri nets , 2018 .
[39] Xie Ling. Global Convergence Analysis of Hybrid Optimization Algorithms , 2012 .
[40] Lin Wang,et al. Anisotropic adaptive variance scaling for Gaussian estimation of distribution algorithm , 2018, Knowl. Based Syst..
[41] Hua Xu,et al. Cross entropy and adaptive variance scaling in continuous EDA , 2007, GECCO '07.
[42] Zuren Feng,et al. Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction With Archive , 2018, IEEE Transactions on Cybernetics.
[43] Anas A. Hadi,et al. LSHADE with semi-parameter adaptation hybrid with CMA-ES for solving CEC 2017 benchmark problems , 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).
[44] Heinz Mühlenbein,et al. From Recombination of Genes to the Estimation of Distributions II. Continuous Parameters , 1996, PPSN.
[45] BayesiannetworksPedro,et al. Combinatorial optimization by learning and simulation of , 2000 .
[46] Franz Rothlauf,et al. The correlation-triggered adaptive variance scaling IDEA , 2006, GECCO.
[47] Yuan Wang,et al. Research on unmanned combat aerial vehicle robust maneuvering decision under incomplete target information , 2016 .
[48] Aimin Zhou,et al. An estimation of distribution algorithm guided by mean shift , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).
[49] Xin Yao,et al. Evolutionary programming using mutations based on the Levy probability distribution , 2004, IEEE Transactions on Evolutionary Computation.
[50] Diao Xing-hu. Cooperative Midcourse Guidance Handover Law for Mid-Long-Range Air-to-Air Missile , 2015 .
[51] Jafar Razmara,et al. A novel approach for protein structure prediction based on an estimation of distribution algorithm , 2019, Soft Comput..
[52] Qingyang Xu,et al. Chaos elitism estimation of distribution algorithm , 2014, Fifth International Conference on Intelligent Control and Information Processing.
[53] R. Mantegna,et al. Fast, accurate algorithm for numerical simulation of Lévy stable stochastic processes. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[54] 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 .
[55] Ke Tang,et al. Improving Estimation of Distribution Algorithm on Multimodal Problems by Detecting Promising Areas , 2015, IEEE Transactions on Cybernetics.
[56] Nikolaus Hansen,et al. A restart CMA evolution strategy with increasing population size , 2005, 2005 IEEE Congress on Evolutionary Computation.
[57] Francisco Herrera,et al. Since CEC 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis’s weakness , 2017, Soft Comput..