Unpacking and Understanding Evolutionary Algorithms
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[1] B. Li,et al. A novel evolutionary algorithmfor determ ining uni"ed creep damage constitutive equations , 2002 .
[2] Xin Yao,et al. From an individual to a population: an analysis of the first hitting time of population-based evolutionary algorithms , 2002, IEEE Trans. Evol. Comput..
[3] H. Handa,et al. Robust route optimization for gritting/salting trucks: a CERCIA experience , 2006, IEEE Computational Intelligence Magazine.
[4] Per Kristian Lehre,et al. Crossover can be constructive when computing unique input–output sequences , 2011, Soft Comput..
[5] Xin Yao,et al. Evolving artificial neural network ensembles , 2008 .
[6] David Lee,et al. Principles and methods of testing finite state machines-a survey , 1996, Proc. IEEE.
[7] Xin Yao,et al. Analysis of Computational Time of Simple Estimation of Distribution Algorithms , 2010, IEEE Transactions on Evolutionary Computation.
[8] Xin Yao,et al. Software Module Clustering as a Multi-Objective Search Problem , 2011, IEEE Transactions on Software Engineering.
[9] Xin Yao,et al. Memetic Algorithm With Extended Neighborhood Search for Capacitated Arc Routing Problems , 2009, IEEE Transactions on Evolutionary Computation.
[10] Xin Yao,et al. Innovative Batik Design with an Interactive Evolutionary Art System , 2009, Journal of Computer Science and Technology.
[11] Xin Yao,et al. Large scale evolutionary optimization using cooperative coevolution , 2008, Inf. Sci..
[12] Xin Yao,et al. Neural-Based Learning Classifier Systems , 2008, IEEE Transactions on Knowledge and Data Engineering.
[13] Per Kristian Lehre,et al. On the Impact of Mutation-Selection Balance on the Runtime of Evolutionary Algorithms , 2012, IEEE Trans. Evol. Comput..
[14] Xin Yao,et al. Time complexity analysis of an evolutionary algorithm for finding nearly maximum cardinality matching , 2008, Journal of Computer Science and Technology.
[15] Carsten Witt,et al. Bioinspired Computation in Combinatorial Optimization , 2010, Bioinspired Computation in Combinatorial Optimization.
[16] Xin Yao,et al. A study of drift analysis for estimating computation time of evolutionary algorithms , 2004, Natural Computing.
[17] Xin Yao,et al. A Large Population Size Can Be Unhelpful in Evolutionary Algorithms a Large Population Size Can Be Unhelpful in Evolutionary Algorithms , 2022 .
[18] Xin Yao,et al. Multi-Objective Approaches to Optimal Testing Resource Allocation in Modular Software Systems , 2010, IEEE Transactions on Reliability.
[19] Xin Yao,et al. An Efficient Evolutionary Approach to Parameter Identification in a Building Thermal Model , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[20] Xin Yao,et al. Scalability of generalized adaptive differential evolution for large-scale continuous optimization , 2010, Soft Comput..
[21] Stefan Droste,et al. Analysis of the (1+1) EA for a dynamically changing ONEMAX-variant , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[22] Xin Yao,et al. Evolutionary programming made faster , 1999, IEEE Trans. Evol. Comput..
[23] B. Hajek. Hitting-time and occupation-time bounds implied by drift analysis with applications , 1982, Advances in Applied Probability.
[24] Per Kristian Lehre,et al. Dynamic evolutionary optimisation: an analysis of frequency and magnitude of change , 2009, GECCO.
[25] Xin Yao,et al. Evolutionary Design of Digital Filters With Application to Subband Coding and Data Transmission , 2007, IEEE Transactions on Signal Processing.
[26] Xin Yao,et al. On the approximation ability of evolutionary optimization with application to minimum set cover , 2010, Artif. Intell..
[27] Xin Yao,et al. Target shape design optimization by evolving splines , 2007, 2007 IEEE Congress on Evolutionary Computation.
[28] Pietro Simone Oliveto,et al. Analysis of the $(1+1)$-EA for Finding Approximate Solutions to Vertex Cover Problems , 2009, IEEE Transactions on Evolutionary Computation.
[29] S. Smale,et al. On a theory of computation and complexity over the real numbers; np-completeness , 1989 .
[30] Xin Yao,et al. Drift analysis and average time complexity of evolutionary algorithms , 2001, Artif. Intell..
[31] Xiaodong Li,et al. Cooperatively Coevolving Particle Swarms for Large Scale Optimization , 2012, IEEE Transactions on Evolutionary Computation.
[32] Francisco Herrera,et al. Ten years of genetic fuzzy systems: current framework and new trends , 2004, Fuzzy Sets Syst..
[33] Anne Auger,et al. Theory of Randomized Search Heuristics: Foundations and Recent Developments , 2011, Theory of Randomized Search Heuristics.
[34] Frank Neumann,et al. Bioinspired computation in combinatorial optimization: algorithms and their computational complexity , 2010, GECCO '12.
[35] Per Kristian Lehre,et al. When is an estimation of distribution algorithm better than an evolutionary algorithm? , 2009, 2009 IEEE Congress on Evolutionary Computation.
[36] Alex Fukunaga,et al. Genetic algorithm portfolios , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).
[37] Fei Peng,et al. Population-Based Algorithm Portfolios for Numerical Optimization , 2010, IEEE Transactions on Evolutionary Computation.
[38] Peter Tiño,et al. Measuring Generalization Performance in Coevolutionary Learning , 2008, IEEE Transactions on Evolutionary Computation.
[39] Per Kristian Lehre,et al. Runtime analysis of the (1 + 1) EA on computing unique input output sequences , 2014, Inf. Sci..
[40] Per Kristian Lehre,et al. Runtime analysis of (1+l) EA on computing unique input output sequences , 2007, 2007 IEEE Congress on Evolutionary Computation.
[41] Xin Yao,et al. Self-adaptive differential evolution with neighborhood search , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).