A new evolutionary algorithm for the multiobjective knapasck problem.
Groşan, Crina, Oltean, Mihai, Dumitrescu, D. (2003)
Acta Universitatis Apulensis. Mathematics - Informatics
Similarity:
Groşan, Crina, Oltean, Mihai, Dumitrescu, D. (2003)
Acta Universitatis Apulensis. Mathematics - Informatics
Similarity:
Thibaut Lust, Jacques Teghem (2008)
RAIRO - Operations Research
Similarity:
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...
Chen, Hanning, Zhu, Yunlong, Hu, Kunyuan (2009)
Discrete Dynamics in Nature and Society
Similarity:
Rotar, Corina (2003)
Acta Universitatis Apulensis. Mathematics - Informatics
Similarity:
Chen, Hanning, Zhu, Yunlong, Hu, Kunyuan (2011)
Abstract and Applied Analysis
Similarity:
Groşan, Crina, Dumitrescu, Dumitru D. (2002)
Acta Universitatis Apulensis. Mathematics - Informatics
Similarity:
Thomas Stützle, Sebastian Linke (2002)
Mathware and Soft Computing
Similarity:
A number of extensions of Ant System, the first ant colony optimization (ACO) algorithm, were proposed in the literature. These extensions typically achieve much improved computational results when compared to the original Ant System. However, many design choices of Ant System are left untouched including the fact that solutions are constructed, that real-numbers are used to simulate pheromone trails, and that explicit pheromone evaporation is used. In this article we experimentally...
Angelova, Maria, Tzonkov, Stoyan, Pencheva, Tania (2010)
Serdica Journal of Computing
Similarity:
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...
F. Bicking, C. Fonteix, J.-P. Corriou, I. Marc (1994)
RAIRO - Operations Research - Recherche Opérationnelle
Similarity: