Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms
暂无分享,去创建一个
Gary G. Yen | Zhongqiang Huang | Wenzhen Huang | Min Jiang | Liming Qiu | G. Yen | Zhongqiang Huang | Min Jiang | Wenzhen Huang | L. Qiu
[1] Phillip D. Stroud,et al. Kalman-extended genetic algorithm for search in nonstationary environments with noisy fitness evaluations , 2001, IEEE Trans. Evol. Comput..
[2] Min Jiang,et al. Embodied concept formation and reasoning via neural-symbolic integration , 2010, Neurocomputing.
[3] Kay Chen Tan,et al. A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization , 2009, IEEE Transactions on Evolutionary Computation.
[4] Gary G. Yen,et al. Cultural-based particle swarm for dynamic optimisation problems , 2012, Int. J. Syst. Sci..
[5] Concha Bielza,et al. Multiobjective Estimation of Distribution Algorithm Based on Joint Modeling of Objectives and Variables , 2014, IEEE Transactions on Evolutionary Computation.
[6] Jun Xu,et al. Power Portfolio Optimization in Deregulated Electricity Markets With Risk Management , 2004, IEEE Transactions on Power Systems.
[7] Qingfu Zhang,et al. This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION 1 RM-MEDA: A Regularity Model-Based Multiobjective Estimation of , 2022 .
[8] Kay Chen Tan,et al. Dynamic Evolutionary Multi-objective Optimization , 2009 .
[9] Le Song,et al. A Hilbert Space Embedding for Distributions , 2007, Discovery Science.
[10] T. Jansen,et al. Populations can be Essential in Dynamic Optimisation , 2015, GECCO.
[11] Jürgen Branke,et al. Memory enhanced evolutionary algorithms for changing optimization problems , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[12] Ingo Steinwart,et al. On the Influence of the Kernel on the Consistency of Support Vector Machines , 2002, J. Mach. Learn. Res..
[13] Bin Li,et al. Multi-strategy ensemble evolutionary algorithm for dynamic multi-objective optimization , 2010, Memetic Comput..
[14] A. Engelbrecht,et al. Benchmark Functions for CEC 2015 Special Session and Competition on Dynamic Multi-objective Optimization , 2015 .
[15] Anabela Simões,et al. Prediction in evolutionary algorithms for dynamic environments , 2014, Soft Comput..
[16] Ivor W. Tsang,et al. Domain Adaptation via Transfer Component Analysis , 2009, IEEE Transactions on Neural Networks.
[17] Kay Chen Tan,et al. Solving the IEEE CEC 2015 Dynamic Benchmark Problems Using Kalman Filter Based Dynamic Multiobjective Evolutionary Algorithm , 2016 .
[18] Terence C. Fogarty,et al. A Genetic Algorithm with Variable Range of Local Search for Tracking Changing Environments , 1996, PPSN.
[19] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[20] Kalyanmoy Deb,et al. Dynamic multiobjective optimization problems: test cases, approximations, and applications , 2004, IEEE Transactions on Evolutionary Computation.
[21] C.A. Coello Coello,et al. MOPSO: a proposal for multiple objective particle swarm optimization , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[22] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[23] Lamjed Ben Said,et al. A dynamic multi-objective evolutionary algorithm using a change severity-based adaptive population management strategy , 2015, Soft Computing.
[24] Bernhard Schölkopf,et al. A Kernel Method for the Two-Sample-Problem , 2006, NIPS.
[25] R. Lyndon While,et al. A faster algorithm for calculating hypervolume , 2006, IEEE Transactions on Evolutionary Computation.
[26] Duc-Cuong Dang,et al. Populations Can Be Essential in Tracking Dynamic Optima , 2016, Algorithmica.
[27] Shengxiang Yang,et al. Evolutionary dynamic optimization: A survey of the state of the art , 2012, Swarm Evol. Comput..
[28] Jürgen Branke,et al. A Multi-population Approach to Dynamic Optimization Problems , 2000 .
[29] Fan Zhang,et al. Fuzzy neural network based dynamic path planning , 2012, 2012 International Conference on Machine Learning and Cybernetics.
[30] Claudio Rossi,et al. Tracking Moving Optima Using Kalman-Based Predictions , 2008, Evolutionary Computation.
[31] Min Jiang,et al. Integration of Global and Local Metrics for Domain Adaptation Learning Via Dimensionality Reduction , 2017, IEEE Transactions on Cybernetics.
[32] Xin Yao,et al. Dynamic Multi-objective Optimization: A Survey of the State-of-the-Art , 2013 .
[33] Carlos Cruz,et al. Optimization in dynamic environments: a survey on problems, methods and measures , 2011, Soft Comput..
[34] Peter A. N. Bosman. Learning and Anticipation in Online Dynamic Optimization , 2007, Evolutionary Computation in Dynamic and Uncertain Environments.
[35] Qingfu Zhang,et al. A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization , 2014, IEEE Transactions on Cybernetics.
[36] Nello Cristianini,et al. Kernel Methods for Pattern Analysis , 2003, ICTAI.
[37] Yong Wang,et al. A regularity model-based multiobjective estimation of distribution algorithm with reducing redundant cluster operator , 2012, Appl. Soft Comput..
[38] Kay Chen Tan,et al. Evolutionary Dynamic Multiobjective Optimization Via Kalman Filter Prediction , 2016, IEEE Transactions on Cybernetics.
[39] C. Coello,et al. Improving PSO-based Multi-Objective Optimization using Crowding , Mutation and �-Dominance , 2005 .
[40] Koby Crammer,et al. A theory of learning from different domains , 2010, Machine Learning.
[41] Bing Xue,et al. Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification , 2017, IEEE Transactions on Evolutionary Computation.
[42] Ivor W. Tsang,et al. Memetic Search With Interdomain Learning: A Realization Between CVRP and CARP , 2015, IEEE Transactions on Evolutionary Computation.
[43] Rama Chellappa,et al. Visual Domain Adaptation: A survey of recent advances , 2015, IEEE Signal Processing Magazine.
[44] Carlos A. Coello Coello,et al. Improving PSO-Based Multi-objective Optimization Using Crowding, Mutation and epsilon-Dominance , 2005, EMO.
[45] Changle Zhou,et al. An Infant Development-inspired Approach to Robot Hand-eye Coordination , 2014 .
[46] Enrique Alba,et al. AbYSS: Adapting Scatter Search to Multiobjective Optimization , 2008, IEEE Transactions on Evolutionary Computation.
[47] Min Jiang,et al. Robotic Free Writing of Chinese Characters via Human-Robot Interactions , 2014, Int. J. Humanoid Robotics.
[48] Shengxiang Yang,et al. A hybrid immigrants scheme for genetic algorithms in dynamic environments , 2007, Int. J. Autom. Comput..
[49] Lamjed Ben Said,et al. Dynamic Multi-objective Optimization Using Evolutionary Algorithms: A Survey , 2017, Recent Advances in Evolutionary Multi-objective Optimization.
[50] Shengxiang Yang,et al. Genetic Algorithms with Memory- and Elitism-Based Immigrants in Dynamic Environments , 2008, Evolutionary Computation.
[51] Kalyanmoy Deb,et al. Dynamic Multi-objective Optimization and Decision-Making Using Modified NSGA-II: A Case Study on Hydro-thermal Power Scheduling , 2007, EMO.
[52] Mario Cámara Sola,et al. Parallel processing for dynamic multi-objetive optimization , 2010 .
[53] Gary G. Yen,et al. Dynamic Evolutionary Algorithm With Variable Relocation , 2009, IEEE Transactions on Evolutionary Computation.
[54] Koby Crammer,et al. Analysis of Representations for Domain Adaptation , 2006, NIPS.
[55] B. Scholkopf,et al. Fisher discriminant analysis with kernels , 1999, Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468).
[56] Changhe Li,et al. A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments , 2010, IEEE Transactions on Evolutionary Computation.
[57] Helen G. Cobb,et al. An Investigation into the Use of Hypermutation as an Adaptive Operator in Genetic Algorithms Having Continuous, Time-Dependent Nonstationary Environments , 1990 .
[58] Mengjie Zhang,et al. Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems , 2014, IEEE Transactions on Evolutionary Computation.
[59] Changhe Li,et al. Fast Multi-Swarm Optimization for Dynamic Optimization Problems , 2008, 2008 Fourth International Conference on Natural Computation.
[60] Shengxiang Yang,et al. Genetic algorithms with adaptive immigrants for dynamic environments , 2013, 2013 IEEE Congress on Evolutionary Computation.
[61] John J. Grefenstette,et al. Genetic Algorithms for Changing Environments , 1992, PPSN.