Sampling-based adaptive bounding evolutionary algorithm for continuous optimization problems
暂无分享,去创建一个
Wentong Cai | Jianfeng Ma | Linbo Luo | Jinghui Zhong | Xiangting Hou | Wentong Cai | Jianfeng Ma | Linbo Luo | Xiangting Hou | J. Zhong
[1] Kang Li,et al. DABGA SZGA GAPSSA SGA DABGA SZGA GAPSSASGA SZGA SGA GAPSSA DABGA SZGA SGA GAPSSA , 2007 .
[2] Zbigniew Michalewicz,et al. Evolutionary Algorithms in Engineering Applications , 1997, Springer Berlin Heidelberg.
[3] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[4] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[5] CaiWentong,et al. Agent-based human behavior modeling for crowd simulation , 2008 .
[6] Muhammad Khurram Khan,et al. An effective memetic differential evolution algorithm based on chaotic local search , 2011, Inf. Sci..
[7] Dirk Helbing,et al. Simulating dynamical features of escape panic , 2000, Nature.
[8] Aleksandra B. Djurišić,et al. Elite genetic algorithms with adaptive mutations for solving continuous optimization problems: application to modeling of the optical constants of solids , 1998 .
[9] Young-Doo Kwon,et al. Convergence enhanced genetic algorithm with successive zooming method for solving continuous optimization problems , 2003 .
[10] Dervis Karaboga,et al. A modified Artificial Bee Colony algorithm for real-parameter optimization , 2012, Inf. Sci..
[11] Bin Li,et al. Estimation of distribution and differential evolution cooperation for large scale economic load dispatch optimization of power systems , 2010, Inf. Sci..
[12] Patrick Siarry,et al. A survey on optimization metaheuristics , 2013, Inf. Sci..
[13] Michael Lees,et al. Title Density-based evolutionary framework for crowd model calibration , 2018 .
[14] Dirk Helbing,et al. Specification of the Social Force Pedestrian Model by Evolutionary Adjustment to Video Tracking Data , 2007, Adv. Complex Syst..
[15] Luis E. Ortiz,et al. Who are you with and where are you going? , 2011, CVPR 2011.
[16] Ignacio E. Grossmann,et al. Optimal production planning under time-sensitive electricity prices for continuous power-intensive processes , 2012, Comput. Chem. Eng..
[17] Dirk Helbing,et al. Dynamics of crowd disasters: an empirical study. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[18] Ying-Han Chen,et al. Wall-Following Control of a Hexapod Robot Using a Data-Driven Fuzzy Controller Learned Through Differential Evolution , 2015, IEEE Transactions on Industrial Electronics.
[19] Wentong Cai,et al. Agent‐based human behavior modeling for crowd simulation , 2008, Comput. Animat. Virtual Worlds.
[20] Xin Yao,et al. Evolutionary programming made faster , 1999, IEEE Trans. Evol. Comput..
[21] Martin Pelikan,et al. An introduction and survey of estimation of distribution algorithms , 2011, Swarm Evol. Comput..
[22] Donald E. Knuth,et al. The art of computer programming: V.1.: Fundamental algorithms , 1997 .
[23] Forrest Stonedahl,et al. Finding Forms of Flocking: Evolutionary Search in ABM Parameter-Spaces , 2010, MABS.
[24] Heinz Mühlenbein,et al. Schemata, Distributions and Graphical Models in Evolutionary Optimization , 1999, J. Heuristics.
[25] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[26] Jing J. Liang,et al. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization , 2005 .
[27] Dinesh Manocha,et al. Parameter estimation and comparative evaluation of crowd simulations , 2014, Comput. Graph. Forum.
[28] Dimitris N. Metaxas,et al. Eurographics/ Acm Siggraph Symposium on Computer Animation (2007) Group Behavior from Video: a Data-driven Approach to Crowd Simulation , 2022 .
[29] Donald E. Knuth,et al. The Art of Computer Programming, Volume I: Fundamental Algorithms, 2nd Edition , 1997 .
[30] Magdalene Marinaki,et al. Particle Swarm Optimization for the Vehicle Routing Problem with Stochastic Demands , 2013, Appl. Soft Comput..
[31] Peter Tiño,et al. Scaling Up Estimation of Distribution Algorithms for Continuous Optimization , 2011, IEEE Transactions on Evolutionary Computation.
[32] P. N. Suganthan,et al. Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization , 2009, IEEE Transactions on Evolutionary Computation.
[33] Guillaume Hutzler,et al. Automatic Tuning of Agent-Based Models Using Genetic Algorithms , 2005, MABS.
[34] Ivor W. Tsang,et al. Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems , 2015, Memetic Comput..
[35] Liang Gao,et al. An effective hybrid discrete differential evolution algorithm for the flow shop scheduling with intermediate buffers , 2011, Inf. Sci..
[36] Yu Wang,et al. Self-adaptive learning based particle swarm optimization , 2011, Inf. Sci..
[37] Qingfu Zhang,et al. Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters , 2011, IEEE Transactions on Evolutionary Computation.
[38] Jun Zhang,et al. MP-EDA: A Robust Estimation of Distribution Algorithm with Multiple Probabilistic Models for Global Continuous Optimization , 2010, SEAL.
[39] Michael Lees,et al. Design and Evaluation of a Data-Driven Scenario Generation Framework for Game-Based Training , 2017, IEEE Transactions on Computational Intelligence and AI in Games.
[40] David Henriques,et al. MEIGO: an open-source software suite based on metaheuristics for global optimization in systems biology and bioinformatics , 2013, BMC Bioinformatics.