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      Constraint-handling in nature-inspired numerical optimization: Past, present and future

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      Swarm and Evolutionary Computation
      Elsevier BV

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          An efficient constraint handling method for genetic algorithms

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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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              Use of a self-adaptive penalty approach for engineering optimization problems

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                Author and article information

                Journal
                Swarm and Evolutionary Computation
                Swarm and Evolutionary Computation
                Elsevier BV
                22106502
                December 2011
                December 2011
                : 1
                : 4
                : 173-194
                Article
                10.1016/j.swevo.2011.10.001
                599ad639-7950-477f-a408-dd114fd41b5e
                © 2011

                http://www.elsevier.com/tdm/userlicense/1.0/

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