An evolutionary approach to geometrical place problems.
Groşan, Crina, Oltean, Mihai, Oltean, Mihaela (2003)
Acta Universitatis Apulensis. Mathematics - Informatics
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Groşan, Crina, Oltean, Mihai, Oltean, Mihaela (2003)
Acta Universitatis Apulensis. Mathematics - Informatics
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Rotar, Corina (2003)
Acta Universitatis Apulensis. Mathematics - Informatics
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Jozef Kratica, Dušan Tošić, Vladimir Filipović, Đorđe Dugošija (2011)
The Yugoslav Journal of Operations Research
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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, Dumitrescu, Dan, Lung, Rodica (2006)
Acta Universitatis Apulensis. Mathematics - Informatics
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F. Bicking, C. Fonteix, J.-P. Corriou, I. Marc (1994)
RAIRO - Operations Research - Recherche Opérationnelle
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Alexandru Agapie, Alden H. Wright (2014)
Applications of Mathematics
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Evolutionary Algorithms, also known as Genetic Algorithms in a former terminology, are probabilistic algorithms for optimization, which mimic operators from natural selection and genetics. The paper analyses the convergence of the heuristic associated to a special type of Genetic Algorithm, namely the Steady State Genetic Algorithm (SSGA), considered as a discrete-time dynamical system non-generational model. Inspired by the Markov chain results in finite Evolutionary Algorithms, conditions...
Groşan, Crina, Dumitrescu, Dumitru D. (2002)
Acta Universitatis Apulensis. Mathematics - Informatics
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Rotar, Corina (2003)
Acta Universitatis Apulensis. Mathematics - Informatics
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Dumitrescu, D., Simon, Károly (2003)
Acta Universitatis Apulensis. Mathematics - Informatics
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Georgia Alexouda, Konstantinos Paparrizos (1999)
The Yugoslav Journal of Operations Research
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Dorin Bocu (1997)
The Yugoslav Journal of Operations Research
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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.