A new evolutionary algorithm for multiobjective optimization based on endocrine paradigm.
Rotar, Corina (2003)
Acta Universitatis Apulensis. Mathematics - Informatics
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Displaying similar documents to “A comparison of multiobjective evolutionary algorithms.”
A new evolutionary algorithm for multiobjective optimization based on endocrine paradigm.
Bipolar convergence in genetic algorithm for multimodal optimization.
Rotar, Corina (2003)
Acta Universitatis Apulensis. Mathematics - Informatics
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Optimization using an evolutionary hyperplane guided approach.
Rotar, Corina, Dumitrescu, Dan, Lung, Rodica (2006)
Acta Universitatis Apulensis. Mathematics - Informatics
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Parameter Identification of a Fed-Batch Cultivation of S. Cerevisiae using Genetic Algorithms
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...
Global optimization by artificial life : a new technique using genetic population evolution
F. Bicking, C. Fonteix, J.-P. Corriou, I. Marc (1994)
RAIRO - Operations Research - Recherche Opérationnelle
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An evolutionary approach to geometrical place problems.
Groşan, Crina, Oltean, Mihai, Oltean, Mihaela (2003)
Acta Universitatis Apulensis. Mathematics - Informatics
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A new evolutionary algorithm for the multiobjective knapasck problem.
Groşan, Crina, Oltean, Mihai, Dumitrescu, D. (2003)
Acta Universitatis Apulensis. Mathematics - Informatics
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Mapping the convergence of genetic algorithms.
Drezner, Zvi, Marcoulides, George A. (2006)
Journal of Applied Mathematics and Decision Sciences
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Hybrid PSO and GA for global maximization.
Mesloub, Said, Mansour, Abdelouahab (2009)
International Journal of Open Problems in Computer Science and Mathematics. IJOPCM
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The grouping differential evolution algorithm for multi-dimensional optimization problems
Adam Piotrowski, Jarosław Napiórkowski (2010)
Control and Cybernetics
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A New Genetic Representation for Quadratic Assignment Problem
Jozef Kratica, Dušan Tošić, Vladimir Filipović, Đorđe Dugošija (2011)
The Yugoslav Journal of Operations Research
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Solving the simple plant location problem by genetic algorithm
Jozef Kratica, Dušan Tošic, Vladimir Filipović, Ivana Ljubić (2001)
RAIRO - Operations Research - Recherche Opérationnelle
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The simple plant location problem (SPLP) is considered and a genetic algorithm is proposed to solve this problem. By using the developed algorithm it is possible to solve SPLP with more than 1000 facility sites and customers. Computational results are presented and compared to dual based algorithms.