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      Multiobjective differential evolution (MODE) for optimization of adiabatic styrene reactor

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      Chemical Engineering Science
      Elsevier BV

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          A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques

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            Hybrid method of evolutionary algorithms for static and dynamic optimization problems with application to a fed-batch fermentation process

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              Estimation of heat transfer parameters in a trickle-bed reactor using differential evolution and orthogonal collocation

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                Author and article information

                Journal
                Chemical Engineering Science
                Chemical Engineering Science
                Elsevier BV
                00092509
                September 2005
                September 2005
                : 60
                : 17
                : 4822-4837
                Article
                10.1016/j.ces.2005.02.073
                43cf2d63-d487-46d8-b083-aba06f3e0e40
                © 2005

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

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