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Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state of the art
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Evolutionary constrained optimization using an addition of ranking method and a percentage-based tolerance value adjustment scheme
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An efficient constraint handling method for genetic algorithms
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K. Deb, "An efficient constraint handling method for genetic algorithms," Computer Methods in Applied Mechanics and Engineering, vol. 186, pp. 311-338, 2000.
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An evolutionary algorithm for constrained multi-objective optimization
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F. Jimenez, A. F. Gomez-Skarmeta, G. Sanchez, and K. Deb, "An evolutionary algorithm for constrained multi-objective optimization," in Proceedings of the 2002 IEEE Congress on Evolutionary Computation (CEC'02), vol. 2, 2002, pp. 1133-1138.
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A simple multimembered evolution strategy to solve constrained optimization problems
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Handing constraints as objectives in a multiobjective genetic based algorithm
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Simulated binary crossover for continuous search space
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K. Deb and S. Agrawal, "Simulated binary crossover for continuous search space," Complex Systems, vol. 9, pp. 115-148, 1995.
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Deb, K.1
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A combined genetic adaptive search (geneas) for engineering design
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K. Deb and M. Goyal, "A combined genetic adaptive search (geneas) for engineering design," Computer Science and Informatics, vol. 26, pp. 30-45, 1996.
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K. Deb, Multi-Objective Optimization using Evolutionary Algorithms. John Wiley and Sons Pvt. Ltd., 2001.
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K. Deb, Multi-Objective Optimization using Evolutionary Algorithms. John Wiley and Sons Pvt. Ltd., 2001.
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