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      An effective co-evolutionary particle swarm optimization for constrained engineering design problems

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      Engineering Applications of Artificial Intelligence
      Elsevier BV

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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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              Constraint-handling in genetic algorithms through the use of dominance-based tournament selection

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                Author and article information

                Journal
                Engineering Applications of Artificial Intelligence
                Engineering Applications of Artificial Intelligence
                Elsevier BV
                09521976
                February 2007
                February 2007
                : 20
                : 1
                : 89-99
                Article
                10.1016/j.engappai.2006.03.003
                358b4a1f-c7e5-4a8d-96bf-22f080c3784b
                © 2007

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

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