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- W2000284485 abstract "This paper presents a new generation of algorithms obtained by successive improvements of the initial version of the genetic algorithm guided by the templates (GGA) (Tsang, 1999). These improvements are experimentally validated and this separately and jointly. They go from the distribution of the individuals by species to the control of the crossover and the mutation sub processes. Our objective is to maximize the number of satisfied constraints. For this we use the multiagent approach, the min-conflict heuristic and the diversification as well as the intensification locally on the level of the agents. Each agent is, indeed, responsible for a given species; namely a subset of individuals violating the same number of constraints." @default.
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- W2000284485 date "2008-03-19" @default.
- W2000284485 modified "2023-09-23" @default.
- W2000284485 title "Une nouvelle génération d'algorithmes génétiques guidés distribués pour la résolution des Max_CSPs" @default.
- W2000284485 doi "https://doi.org/10.3166/tsi.27.109-140" @default.
- W2000284485 hasPublicationYear "2008" @default.
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