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 “Niching mechanisms in evolutionary computations”
A new evolutionary algorithm for multiobjective optimization based on endocrine paradigm.
Optimization using an evolutionary hyperplane guided approach.
Rotar, Corina, Dumitrescu, Dan, Lung, Rodica (2006)
Acta Universitatis Apulensis. Mathematics - Informatics
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Optimization of touristic distribution networks using genetic algorithms.
Josep R. Medina, Víctor Yepes (2003)
SORT
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The eight basic elements to design genetic algorithms (GA) are described and applied to solve a low demand distribution problem of passengers for a hub airport in Alicante and 30 touristic destinations in Northern Africa and Western Europe. The flexibility of GA and the possibility of creating mutually beneficial feed-back processes with human intelligence to solve complex problems as well as the difficulties in detecting erroneous codes embedded in the software are described. A new...
A comparison of multiobjective evolutionary algorithms.
Groşan, Crina, Dumitrescu, Dumitru D. (2002)
Acta Universitatis Apulensis. Mathematics - Informatics
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A multivariable multiobjective predictive controller
Faten Ben Aicha, Faouzi Bouani, Mekki Ksouri (2013)
International Journal of Applied Mathematics and Computer Science
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Predictive control of MIMO processes is a challenging problem which requires the specification of a large number of tuning parameters (the prediction horizon, the control horizon and the cost weighting factor). In this context, the present paper compares two strategies to design a supervisor of the Multivariable Generalized Predictive Controller (MGPC), based on multiobjective optimization. Thus, the purpose of this work is the automatic adjustment of the MGPC synthesis by simultaneously...
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.
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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On the performance of the particle swarm optimization algorithm with various inertia weight variants for computing optimal control of a class of hybrid systems.
Arumugam, M.Senthil, Rao, M.V.C. (2006)
Discrete Dynamics in Nature and Society
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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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Sensor network scheduling for identification of spatially distributed processes
Dariusz Uciński (2012)
International Journal of Applied Mathematics and Computer Science
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The work treats the problem of fault detection for processes described by partial differential equations as that of maximizing the power of a parametric hypothesis test which checks whether or not system parameters have nominal values. A simple node activation strategy is discussed for the design of a sensor network deployed in a spatial domain that is supposed to be used while detecting changes in the underlying parameters which govern the process evolution. The setting considered relates...