The grouping differential evolution algorithm for multi-dimensional optimization problems
Adam Piotrowski, Jarosław Napiórkowski (2010)
Control and Cybernetics
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Adam Piotrowski, Jarosław Napiórkowski (2010)
Control and Cybernetics
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Chen, Hanning, Zhu, Yunlong, Hu, Kunyuan (2011)
Abstract and Applied Analysis
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Chen, Hanning, Zhu, Yunlong, Hu, Kunyuan (2009)
Discrete Dynamics in Nature and Society
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F. Bicking, C. Fonteix, J.-P. Corriou, I. Marc (1994)
RAIRO - Operations Research - Recherche Opérationnelle
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Thibaut Lust, Jacques Teghem (2008)
RAIRO - Operations Research
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We present in this paper a new multiobjective memetic algorithm scheme called MEMOX. In current multiobjective memetic algorithms, the parents used for recombination are randomly selected. We improve this approach by using a dynamic hypergrid which allows to select a parent located in a region of minimal density. The second parent selected is a solution close, in the objective space, to the first parent. A local search is then applied to the offspring. We experiment this scheme with...
Lung, Rodica Ioana, Dumitrescu, Dan (2003)
Acta Universitatis Apulensis. Mathematics - Informatics
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Angelova, Maria, Tzonkov, Stoyan, Pencheva, Tania (2010)
Serdica Journal of Computing
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Fermentation processes as objects of modelling and high-quality control are characterized with interdependence and time-varying of process variables that lead to non-linear models with a very complex structure. This is why the conventional optimization methods cannot lead to a satisfied solution. As an alternative, genetic algorithms, like the stochastic global optimization method, can be applied to overcome these limitations. The application of genetic algorithms is a precondition for...
Rotar, Corina (2003)
Acta Universitatis Apulensis. Mathematics - Informatics
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