Dynamic Multiobjectives Optimization With a Changing Number of Objectives
暂无分享,去创建一个
Xin Yao | Ke Li | Renzhi Chen | X. Yao | Renzhi Chen | Ke Li
[1] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[2] Kalyanmoy Deb,et al. Simulated Binary Crossover for Continuous Search Space , 1995, Complex Syst..
[3] Kalyanmoy Deb,et al. A combined genetic adaptive search (GeneAS) for engineering design , 1996 .
[4] Philippe Kruchten,et al. The Rational Unified Process: An Introduction , 1998 .
[5] Lothar Thiele,et al. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach , 1999, IEEE Trans. Evol. Comput..
[6] Philippe Kruchten,et al. The Rational Unified Process: An Introduction, Second Edition , 2000 .
[7] P. Krutchen,et al. The Rational Unified Process: An Introduction , 2000 .
[8] Richard J. Beckman,et al. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code , 2000, Technometrics.
[9] Niraj K. Jha,et al. Static and dynamic variable voltage scheduling algorithms for real-time heterogeneous distributed embedded systems , 2002, Proceedings of ASP-DAC/VLSI Design 2002. 7th Asia and South Pacific Design Automation Conference and 15h International Conference on VLSI Design.
[10] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[11] Dirk Thierens,et al. The balance between proximity and diversity in multiobjective evolutionary algorithms , 2003, IEEE Trans. Evol. Comput..
[12] Xin Yao,et al. Performance Scaling of Multi-objective Evolutionary Algorithms , 2003, EMO.
[13] Steven Guan,et al. Evolving Dynamic Multi-Objective Optimization Problems with Objective Replacement , 2005, Artificial Intelligence Review.
[14] Eckart Zitzler,et al. Indicator-Based Selection in Multiobjective Search , 2004, PPSN.
[15] R. Storn,et al. Differential Evolution , 2004 .
[16] Kalyanmoy Deb,et al. Dynamic multiobjective optimization problems: test cases, approximations, and applications , 2004, IEEE Transactions on Evolutionary Computation.
[17] Marco Laumanns,et al. Scalable Test Problems for Evolutionary Multiobjective Optimization , 2005, Evolutionary Multiobjective Optimization.
[18] Jianli Zhuo,et al. An efficient dynamic task scheduling algorithm for battery powered DVS systems , 2005, Proceedings of the ASP-DAC 2005. Asia and South Pacific Design Automation Conference, 2005..
[19] 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.
[20] R. Lyndon While,et al. A review of multiobjective test problems and a scalable test problem toolkit , 2006, IEEE Transactions on Evolutionary Computation.
[21] Xin Yao,et al. A New Multi-objective Evolutionary Optimisation Algorithm: The Two-Archive Algorithm , 2006, 2006 International Conference on Computational Intelligence and Security.
[22] I. Hatzakis,et al. Topology of Anticipatory Populations for Evolutionary Dynamic Multi-Objective Optimization , 2006 .
[23] David Wallace,et al. Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach , 2006, GECCO '06.
[24] Qingfu Zhang,et al. Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization , 2007, EMO.
[25] Bojin Zheng,et al. A New Dynamic Multi-objective Optimization Evolutionary Algorithm , 2007, Third International Conference on Natural Computation (ICNC 2007).
[26] Qingfu Zhang,et al. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.
[27] C. A. Coello Coello,et al. Hybridizing evolutionary strategies with continuation methods for solving multi-objective problems , 2008 .
[28] 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 .
[29] Bin Li,et al. Investigation of memory-based multi-objective optimization evolutionary algorithm in dynamic environment , 2009, 2009 IEEE Congress on Evolutionary Computation.
[30] Kay Chen Tan,et al. A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization , 2009, IEEE Transactions on Evolutionary Computation.
[31] Qingfu Zhang,et al. Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II , 2009, IEEE Transactions on Evolutionary Computation.
[32] Qingfu Zhang,et al. Multiobjective optimization Test Instances for the CEC 2009 Special Session and Competition , 2009 .
[33] Enrique Alba,et al. MOCell: A cellular genetic algorithm for multiobjective optimization , 2009, Int. J. Intell. Syst..
[34] Tajana Simunic,et al. Hybrid dynamic energy and thermal management in heterogeneous embedded multiprocessor SoCs , 2010, 2010 15th Asia and South Pacific Design Automation Conference (ASP-DAC).
[35] Kay Chen Tan,et al. A predictive gradient strategy for multiobjective evolutionary algorithms in a fast changing environment , 2010, Memetic Comput..
[36] Leon J. Osterweil,et al. Dynamic Resource Scheduling in Disruption-Prone Software Development Environments , 2010, FASE.
[37] Fang Liu,et al. A sphere-dominance based preference immune-inspired algorithm for dynamic multi-objective optimization , 2010, GECCO '10.
[38] Álvaro Fialho,et al. Multi-Objective Differential Evolution with Adaptive Control of Parameters and Operators , 2011, LION.
[39] Aluizio F. R. Araújo,et al. Generalized immigration schemes for dynamic evolutionary multiobjective optimization , 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).
[40] Il Hong Suh,et al. Dynamic multi-objective optimization based on membrane computing for control of time-varying unstable plants , 2011, Inf. Sci..
[41] Jinhua Zheng,et al. Achieving balance between proximity and diversity in multi-objective evolutionary algorithm , 2012, Inf. Sci..
[42] Carlos A. Coello Coello,et al. Multiobjective Evolutionary Algorithms in Aeronautical and Aerospace Engineering , 2012, IEEE Transactions on Evolutionary Computation.
[43] Sam Kwong,et al. Multi-objective differential evolution with self-navigation , 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
[44] Radu Prodan,et al. A Truthful Dynamic Workflow Scheduling Mechanism for Commercial Multicloud Environments , 2013, IEEE Transactions on Parallel and Distributed Systems.
[45] Sam Kwong,et al. EVOLVING EXTREME LEARNING MACHINE PARADIGM WITH ADAPTIVE OPERATOR SELECTION AND PARAMETER CONTROL , 2013 .
[46] Kim-Fung Man,et al. Learning paradigm based on jumping genes: A general framework for enhancing exploration in evolutionary multiobjective optimization , 2013, Inf. Sci..
[47] Antonin Ponsich,et al. A Survey on Multiobjective Evolutionary Algorithms for the Solution of the Portfolio Optimization Problem and Other Finance and Economics Applications , 2013, IEEE Transactions on Evolutionary Computation.
[48] Xin Yao,et al. An improved Two Archive Algorithm for Many-Objective optimization , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[49] Qingfu Zhang,et al. Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition , 2014, IEEE Transactions on Evolutionary Computation.
[50] Qingfu Zhang,et al. Stable Matching-Based Selection in Evolutionary Multiobjective Optimization , 2014, IEEE Transactions on Evolutionary Computation.
[51] Kalyanmoy Deb,et al. An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints , 2014, IEEE Transactions on Evolutionary Computation.
[52] Md. Nazrul Islam,et al. A polar-based guided multi-objective evolutionary algorithm to search for optimal solutions interested by decision-makers in a logistics network design problem , 2014, J. Intell. Manuf..
[53] Jinhua Zheng,et al. A population diversity maintaining strategy based on dynamic environment evolutionary model for dynamic multiobjective optimization , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[54] Xin Yao,et al. Temperature management for heterogeneous multi-core FPGAs using adaptive evolutionary multi-objective approaches , 2014, 2014 IEEE International Conference on Evolvable Systems.
[55] Qingfu Zhang,et al. Decomposition of a Multiobjective Optimization Problem Into a Number of Simple Multiobjective Subproblems , 2014, IEEE Transactions on Evolutionary Computation.
[56] Jia Wang,et al. Immune clonal coevolutionary algorithm for dynamic multiobjective optimization , 2014, Natural Computing.
[57] Lamjed Ben Said,et al. A Multiple Reference Point-based evolutionary algorithm for dynamic multi-objective optimization with undetectable changes , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[58] Andries Petrus Engelbrecht,et al. Benchmarks for dynamic multi-objective optimisation algorithms , 2014, CSUR.
[59] Qingfu Zhang,et al. A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization , 2014, IEEE Transactions on Cybernetics.
[60] Sam Kwong,et al. A general framework for evolutionary multiobjective optimization via manifold learning , 2014, Neurocomputing.
[61] Kalyanmoy Deb,et al. A dual-population paradigm for evolutionary multiobjective optimization , 2015, Inf. Sci..
[62] Jun Zhang,et al. Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches , 2015, ACM Comput. Surv..
[63] Qingfu Zhang,et al. An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition , 2015, IEEE Transactions on Evolutionary Computation.
[64] Xin Yao,et al. Two_Arch2: An Improved Two-Archive Algorithm for Many-Objective Optimization , 2015, IEEE Transactions on Evolutionary Computation.
[65] Qingfu Zhang,et al. Interrelationship-Based Selection for Decomposition Multiobjective Optimization , 2015, IEEE Transactions on Cybernetics.
[66] Xin Yao,et al. Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems , 2015, Inf. Sci..
[67] Shengxiang Yang,et al. Evolutionary Computation for Dynamic Optimization Problems , 2015, GECCO.
[68] Jun Zhang,et al. Deadline constrained cloud computing resources scheduling for cost optimization based on dynamic objective genetic algorithm , 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).
[69] Efficient Non-domination Level Update Method for Steady-State Evolutionary Multi-objective Optimization , 2015 .
[70] Yaochu Jin,et al. A directed search strategy for evolutionary dynamic multiobjective optimization , 2015, Soft Comput..
[71] Mark Johnston,et al. Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling , 2015, IEEE Transactions on Cybernetics.
[72] Hisao Ishibuchi,et al. Behavior of Multiobjective Evolutionary Algorithms on Many-Objective Knapsack Problems , 2015, IEEE Transactions on Evolutionary Computation.
[73] Min Liu,et al. Novel prediction and memory strategies for dynamic multiobjective optimization , 2015, Soft Comput..
[74] Mengjie Zhang,et al. Automated Design of Production Scheduling Heuristics: A Review , 2016, IEEE Transactions on Evolutionary Computation.
[75] Qingfu Zhang,et al. Adaptive Replacement Strategies for MOEA/D , 2016, IEEE Transactions on Cybernetics.
[76] Xin Yao,et al. Dynamic Software Project Scheduling through a Proactive-Rescheduling Method , 2016, IEEE Transactions on Software Engineering.
[77] Kay Chen Tan,et al. Evolutionary Dynamic Multiobjective Optimization Via Kalman Filter Prediction , 2016, IEEE Transactions on Cybernetics.
[78] Qingfu Zhang,et al. A Self-Organizing Multiobjective Evolutionary Algorithm , 2016, IEEE Transactions on Evolutionary Computation.
[79] Fang Liu,et al. A Multiobjective Evolutionary Algorithm Based on Decision Variable Analyses for Multiobjective Optimization Problems With Large-Scale Variables , 2016, IEEE Transactions on Evolutionary Computation.
[80] Shengxiang Yang,et al. Evolutionary Dynamic Multiobjective Optimization: Benchmarks and Algorithm Comparisons , 2017, IEEE Transactions on Cybernetics.
[81] Qingfu Zhang,et al. Efficient Nondomination Level Update Method for Steady-State Evolutionary Multiobjective Optimization , 2017, IEEE Transactions on Cybernetics.
[82] Qingfu Zhang,et al. Matching-Based Selection With Incomplete Lists for Decomposition Multiobjective Optimization , 2016, IEEE Transactions on Evolutionary Computation.
[83] Shengxiang Yang,et al. A Steady-State and Generational Evolutionary Algorithm for Dynamic Multiobjective Optimization , 2017, IEEE Transactions on Evolutionary Computation.