Enhancing Evolutionary Algorithms by Efficient Population Initialization for Constrained Problems
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Carlos A. Coello Coello | Efrén Mezura-Montes | Noha M. Hamza | Saber Elsayed | Ruhul Sarker | Noha Hamza | C. Coello | R. Sarker | E. Mezura-Montes | S. Elsayed
[1] Jing Wang,et al. A New Population Initialization Method Based on Space Transformation Search , 2009, 2009 Fifth International Conference on Natural Computation.
[2] Sonja Kuhnt,et al. Design and analysis of computer experiments , 2010 .
[3] Lawrence. Davis,et al. Handbook Of Genetic Algorithms , 1990 .
[4] K. Miettinen,et al. Quasi-random initial population for genetic algorithms , 2004 .
[5] Jing J. Liang,et al. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization , 2005 .
[6] Rolf Wanka,et al. Theoretical Analysis of Initial Particle Swarm Behavior , 2008, PPSN.
[7] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[8] Carlos A. Coello Coello,et al. A simple multimembered evolution strategy to solve constrained optimization problems , 2005, IEEE Transactions on Evolutionary Computation.
[9] Thomas J. Santner,et al. Design and analysis of computer experiments , 1998 .
[10] Petros Koumoutsakos,et al. Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES) , 2003, Evolutionary Computation.
[11] A. Kai Qin,et al. A review of population initialization techniques for evolutionary algorithms , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[12] Carlos A. Coello Coello,et al. Sequence-Based Deterministic Initialization for Evolutionary Algorithms , 2017, IEEE Transactions on Cybernetics.
[13] Ruhul A. Sarker,et al. Enhanced multi-operator differential evolution for constrained optimization , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).
[14] Tapabrata Ray,et al. Adaptation of operators and continuous control parameters in differential evolution for constrained optimization , 2018, Soft Comput..
[15] Na Wang,et al. Influence of Dimensionality and Population Size on Opposition-based Differential Evolution Using the Current Optimum , 2013 .
[16] Arthur C. Sanderson,et al. JADE: Adaptive Differential Evolution With Optional External Archive , 2009, IEEE Transactions on Evolutionary Computation.
[17] Ahmet Bedri Özer,et al. CIDE: Chaotically Initialized Differential Evolution , 2010, Expert Syst. Appl..
[18] Wenyin Gong,et al. Enhancing the performance of differential evolution using orthogonal design method , 2008, Appl. Math. Comput..
[19] Shahryar Rahnamayan,et al. Center-based sampling for population-based algorithms , 2009, 2009 IEEE Congress on Evolutionary Computation.
[20] M.M.A. Salama,et al. Opposition-Based Differential Evolution , 2008, IEEE Transactions on Evolutionary Computation.
[21] K Ang,et al. A NOTE ON UNIFORM DISTRIBUTION AND EXPERIMENTAL DESIGN , 1981 .
[22] H. Schuster. Deterministic chaos: An introduction , 1984 .
[23] Ruhul A. Sarker,et al. Multi-operator based evolutionary algorithms for solving constrained optimization problems , 2011, Comput. Oper. Res..