Evolutionary Dynamic Optimization: Challenges and Perspectives
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[1] F. Alajaji,et al. c ○ Copyright by , 1998 .
[2] Carlos Cruz,et al. Optimization in dynamic environments: a survey on problems, methods and measures , 2011, Soft Comput..
[3] Rolf Drechsler,et al. Applications of Evolutionary Computing, EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Naples, Italy, March 26-28, 2008. Proceedings , 2008, EvoWorkshops.
[4] Shengxiang Yang,et al. Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems , 2005, 2005 IEEE Congress on Evolutionary Computation.
[5] 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).
[7] Xin Yao,et al. Population-Based Incremental Learning With Associative Memory for Dynamic Environments , 2008, IEEE Transactions on Evolutionary Computation.
[8] R.W. Morrison,et al. A test problem generator for non-stationary environments , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[9] Bernhard Sendhoff,et al. Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept , 2004, EvoWorkshops.
[10] Shengxiang Yang,et al. Continuous dynamic problem generators for evolutionary algorithms , 2007, 2007 IEEE Congress on Evolutionary Computation.
[11] Xin Yao,et al. Dynamic combinatorial optimisation problems: an analysis of the subset sum problem , 2011, Soft Comput..
[12] Xin Yao,et al. Dynamic Time-Linkage Problems Revisited , 2009, EvoWorkshops.
[13] Per Kristian Lehre,et al. Dynamic evolutionary optimisation: an analysis of frequency and magnitude of change , 2009, GECCO.
[14] Zbigniew Michalewicz,et al. Analysis and modeling of control tasks in dynamic systems , 2002, IEEE Trans. Evol. Comput..
[15] Julian F. Miller,et al. Genetic and Evolutionary Computation — GECCO 2003 , 2003, Lecture Notes in Computer Science.
[16] Kenneth A. De Jong,et al. Evolving in a Changing World , 1999, ISMIS.
[17] Paul H. Calamai,et al. Generalized benchmark generation for dynamic combinatorial problems , 2005, GECCO '05.
[18] Antonio Barrientos,et al. Two adaptive mutation operators for optima tracking in dynamic optimization problems with evolution strategies , 2007, GECCO '07.
[19] Kenneth Alan De Jong,et al. An analysis of the behavior of a class of genetic adaptive systems. , 1975 .
[20] Thomas Jansen,et al. Optimization with randomized search heuristics - the (A)NFL theorem, realistic scenarios, and difficult functions , 2002, Theor. Comput. Sci..
[21] Shengxiang Yang,et al. Non-stationary problem optimization using the primal-dual genetic algorithm , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[22] Ronald W. Morrison,et al. Designing Evolutionary Algorithms for Dynamic Environments , 2004, Natural Computing Series.
[23] A. Sima Etaner-Uyar,et al. Towards an analysis of dynamic environments , 2005, GECCO '05.
[24] Stuart A. Kauffman,et al. ORIGINS OF ORDER , 2019, Origins of Order.
[25] Hajime Kita,et al. Genetic algorithms for adaptation to dynamic environments - a survey , 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.
[26] Karsten Weicker,et al. An Analysis of Dynamic Severity and Population Size , 2000, PPSN.
[27] Xin Yao,et al. Parallel Problem Solving from Nature PPSN VI , 2000, Lecture Notes in Computer Science.
[28] Shusaku Tsumoto,et al. Foundations of Intelligent Systems, 15th International Symposium, ISMIS 2005, Saratoga Springs, NY, USA, May 25-28, 2005, Proceedings , 2005, ISMIS.
[29] John J. Grefenstette,et al. Evolvability in dynamic fitness landscapes: a genetic algorithm approach , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[30] Enrique Alba,et al. ABC, a new performance tool for algorithms solving dynamic optimization problems , 2010, IEEE Congress on Evolutionary Computation.
[31] Shengxiang Yang,et al. An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System , 2010, PPSN.
[32] Xin Yao,et al. Attributes of Dynamic Combinatorial Optimisation , 2008, SEAL.
[33] Kenneth Steiglitz,et al. Combinatorial Optimization: Algorithms and Complexity , 1981 .
[34] Von der Fakult. Evolutionary Algorithms and Dynamic Optimization Problems , 2003 .
[35] Wei Wang,et al. Theoretical Analysis of Simple Evolution Strategies in Quickly Changing Environments , 2003, GECCO.
[36] William Rand,et al. Measurements for understanding the behavior of the genetic algorithm in dynamic environments: a case study using the Shaky Ladder Hyperplane-Defined Functions , 2005, GECCO '05.
[37] Xin Yao,et al. A framework for finding robust optimal solutions over time , 2013, Memetic Comput..
[38] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[39] Thomas Jansen,et al. A New Framework for the Valuation of Algorithms for Black-Box Optimization , 2002, FOGA.
[40] Xin Yao,et al. Benchmarking and solving dynamic constrained problems , 2009, 2009 IEEE Congress on Evolutionary Computation.
[41] David E. Goldberg,et al. Nonstationary Function Optimization Using Genetic Algorithms with Dominance and Diploidy , 1987, ICGA.
[42] Xin Yao,et al. Robust optimization over time — A new perspective on dynamic optimization problems , 2010, IEEE Congress on Evolutionary Computation.
[43] Changhe Li,et al. A Generalized Approach to Construct Benchmark Problems for Dynamic Optimization , 2008, SEAL.
[44] Robert Schaefer. Parallel Problem Solving from Nature - PPSN XI, 11th International Conference, Kraków, Poland, September 11-15, 2010. Proceedings, Part II , 2010, PPSN.
[45] Zbigniew Michalewicz,et al. Searching for optima in non-stationary environments , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[46] Jürgen Branke,et al. The Role of Representations in Dynamic Knapsack Problems , 2006, EvoWorkshops.
[47] Jakub Marecek,et al. Handbook of Approximation Algorithms and Metaheuristics , 2010, Comput. J..
[48] Hendrik Richter,et al. Detecting change in dynamic fitness landscapes , 2009, 2009 IEEE Congress on Evolutionary Computation.
[49] Jürgen Branke,et al. Proceedings of the Workshop on Evolutionary Algorithms for Dynamic Optimization Problems (EvoDOP-2003) held in conjunction with the Genetic and Evolutionary Computation Conference (GECCO-2003), 12 July 2003, Chicago, USA [online] , 2003 .
[50] Peter A. N. Bosman,et al. Learning, anticipation and time-deception in evolutionary online dynamic optimization , 2005, GECCO '05.
[51] H. Simon,et al. Models of Man. , 1957 .
[52] Shengxiang Yang,et al. Constructing dynamic test environments for genetic algorithms based on problem difficulty , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[53] Jürgen Branke,et al. Evolutionary Optimization in Dynamic Environments , 2001, Genetic Algorithms and Evolutionary Computation.
[54] Xin Yao,et al. Characterizing environmental changes in Robust Optimization Over Time , 2012, 2012 IEEE Congress on Evolutionary Computation.
[55] Jürgen Branke,et al. Evolutionary optimization in uncertain environments-a survey , 2005, IEEE Transactions on Evolutionary Computation.
[56] John E. Beasley,et al. OR-Library: Distributing Test Problems by Electronic Mail , 1990 .
[57] David W. Corne,et al. Optimisation and Generalisation: Footprints in Instance Space , 2010, PPSN.