Selecting evolutionary algorithms for black box design optimization problems
暂无分享,去创建一个
Yang Lou | Xin Zhang | Shiu Yin Yuen | S. Y. Yuen | Yang Lou | Xin Zhang
[1] Mark Hoogendoorn,et al. Parameter Control in Evolutionary Algorithms: Trends and Challenges , 2015, IEEE Transactions on Evolutionary Computation.
[2] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[3] Michael Affenzeller,et al. A Comprehensive Survey on Fitness Landscape Analysis , 2012, Recent Advances in Intelligent Engineering Systems.
[4] Andries Petrus Engelbrecht,et al. Investigating the impact of alternative evolutionary selection strategies on multi-method global optimization , 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).
[5] Xin Zhang,et al. A novel artificial bee colony algorithm for HVAC optimization problems , 2013 .
[6] Mauricio Zambrano-Bigiarini,et al. Standard Particle Swarm Optimisation 2011 at CEC-2013: A baseline for future PSO improvements , 2013, 2013 IEEE Congress on Evolutionary Computation.
[7] Xin Yao,et al. A Note on Problem Difficulty Measures in Black-Box Optimization: Classification, Realizations and Predictability , 2007, Evolutionary Computation.
[8] Bernd Bischl,et al. ASlib: A benchmark library for algorithm selection , 2015, Artif. Intell..
[9] Saman K. Halgamuge,et al. Exploratory Landscape Analysis of Continuous Space Optimization Problems Using Information Content , 2015, IEEE Transactions on Evolutionary Computation.
[10] Andrei Lihu,et al. Real-valued genetic algorithms with disagreements , 2012, Memetic Comput..
[11] Qingfu Zhang,et al. Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters , 2011, IEEE Transactions on Evolutionary Computation.
[12] Jürgen Schmidhuber,et al. Adaptive Online Time Allocation to Search Algorithms , 2004, ECML.
[13] Xin-She Yang,et al. Cuckoo Search via Lévy flights , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).
[14] Riccardo Poli,et al. A Model for Analysing the Collective Dynamic Behaviour and Characterising the Exploitation of Population-Based Algorithms , 2014, Evolutionary Computation.
[15] Arthur C. Sanderson,et al. JADE: Adaptive Differential Evolution With Optional External Archive , 2009, IEEE Transactions on Evolutionary Computation.
[16] Yang Lou,et al. Sequential Learnable Evolutionary Algorithm: A Research Program , 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.
[17] Yang Lou,et al. Which algorithm should I choose: An evolutionary algorithm portfolio approach , 2016, Appl. Soft Comput..
[18] Xin-She Yang,et al. Firefly Algorithms for Multimodal Optimization , 2009, SAGA.
[19] Michel Gendreau,et al. Hyper-heuristics: a survey of the state of the art , 2013, J. Oper. Res. Soc..
[20] Jing J. Liang,et al. Comprehensive learning particle swarm optimizer for global optimization of multimodal functions , 2006, IEEE Transactions on Evolutionary Computation.
[21] Kate Smith-Miles,et al. Generating new test instances by evolving in instance space , 2015, Comput. Oper. Res..
[22] Yew-Soon Ong,et al. A Probabilistic Memetic Framework , 2009, IEEE Transactions on Evolutionary Computation.
[23] Lars Kotthoff,et al. Algorithm Selection for Combinatorial Search Problems: A Survey , 2012, AI Mag..
[24] S. L. Ho,et al. An Improved Artificial Bee Colony Algorithm for Optimal Design of Electromagnetic Devices , 2013, IEEE Transactions on Magnetics.
[25] Bruce A. Robinson,et al. Self-Adaptive Multimethod Search for Global Optimization in Real-Parameter Spaces , 2009, IEEE Transactions on Evolutionary Computation.
[26] Dervis Karaboga,et al. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm , 2007, J. Glob. Optim..
[27] Kenneth Sörensen,et al. Metaheuristics - the metaphor exposed , 2015, Int. Trans. Oper. Res..
[28] K. F. Fong,et al. Energy management and design of centralized air-conditioning systems through the non-revisiting strategy for heuristic optimization methods , 2010 .
[29] K. F. Fong,et al. Simulation–optimization of solar–thermal refrigeration systems for office use in subtropical Hong Kong , 2011 .
[30] John R. Rice,et al. The Algorithm Selection Problem , 1976, Adv. Comput..
[31] Bernd Bischl,et al. Algorithm selection based on exploratory landscape analysis and cost-sensitive learning , 2012, GECCO '12.
[32] Mario A. Muñoz,et al. ICARUS: Identification of complementary algorithms by uncovered sets , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).
[33] Shiu Yin Yuen,et al. On composing an algorithm portfolio , 2015, Memetic Computing.
[34] Alex Fukunaga,et al. Genetic algorithm portfolios , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).
[35] Mario A. Muñoz,et al. Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges , 2015, Inf. Sci..
[36] Heike Trautmann,et al. Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models , 2016, GECCO.
[37] P. N. Suganthan,et al. Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization , 2009, IEEE Transactions on Evolutionary Computation.
[38] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[39] A. E. Eiben,et al. Introduction to Evolutionary Computing , 2003, Natural Computing Series.
[40] Fei Peng,et al. Population-Based Algorithm Portfolios for Numerical Optimization , 2010, IEEE Transactions on Evolutionary Computation.
[41] Victor O. K. Li,et al. Real-Coded Chemical Reaction Optimization , 2012, IEEE Transactions on Evolutionary Computation.
[42] Georgios C. Anagnostopoulos,et al. Online model racing based on extreme performance , 2014, GECCO.
[43] Xin Yao,et al. Population-based Algorithm Portfolios with automated constituent algorithms selection , 2014, Inf. Sci..
[44] Eyke Hüllermeier,et al. Experience-Based Decision Making: A Satisficing Decision Tree Approach , 2005, IEEE Trans. Syst. Man Cybern. Part A.
[45] Rajkumar Roy,et al. Recent advances in engineering design optimisation: Challenges and future trends , 2008 .
[46] Jing J. Liang,et al. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization , 2005 .
[47] Janez Brest,et al. Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems , 2006, IEEE Transactions on Evolutionary Computation.
[48] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..