Useful Infeasible Solutions in Engineering Optimization with Evolutionary Algorithms
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[1] Carlos A. Coello Coello,et al. Adding a diversity mechanism to a simple evolution strategy to solve constrained optimization problems , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[2] Tapabrata Ray,et al. Society and civilization: An optimization algorithm based on the simulation of social behavior , 2003, IEEE Trans. Evol. Comput..
[3] Frank Hoffmeister,et al. Problem-Independent Handling of Constraints by Use of Metric Penalty Functions , 1996, Evolutionary Programming.
[4] Carlos A. Coello Coello,et al. PASSSS: an implementation of a novel diversity strategy for handling constraints , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[5] Dr. Zbigniew Michalewicz,et al. How to Solve It: Modern Heuristics , 2004 .
[6] James C. Bean,et al. A Genetic Algorithm for the Multiple-Choice Integer Program , 1997, Oper. Res..
[7] Thomas Bäck,et al. Evolutionary algorithms in theory and practice - evolution strategies, evolutionary programming, genetic algorithms , 1996 .
[8] Kaisa Miettinen,et al. Numerical Comparison of Some Penalty-Based Constraint Handling Techniques in Genetic Algorithms , 2003, J. Glob. Optim..
[9] Shang He,et al. An improved particle swarm optimizer for mechanical design optimization problems , 2004 .
[10] D. Fogel. Evolutionary algorithms in theory and practice , 1997, Complex..
[11] Hans-Paul Schwefel,et al. Numerical optimization of computer models , 1981 .
[12] Christopher R. Houck,et al. On the use of non-stationary penalty functions to solve nonlinear constrained optimization problems with GA's , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.