Abstract: This paper addresses the problem of optimizing the schedule of logistic processes using genetic algorithms and fuzzy decision making.
This paper proposes a genetic algorithm to solve the logistic scheduling problem, evolved with a fuzzy criteria aggregation optimization function to deal with ...
The simulation results show that the proposed genetic algorithm evolved with fuzzy optimization presents good results for this type of problems.
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Evolved genetic algorithms with fuzzy aggregation applied to ...
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Página com os meta dados da publicação Evolved genetic algorithms with fuzzy aggregation applied to priorities in logistic systems.
This paper addresses the problem of optimizing logistic processes that can be modeled as birth and death processes. A fuzzy decision making algorithm is ...
Evolved Genetic Algorithms with Fuzzy Aggregation Applied to Priorities in Logistic Systems · Document Type. Proceedings Paper · Year published. 2003 · Published.
[PDF] Optimizing logistic processes using a fuzzy decision making ...
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This paper addresses the problem of optimizing logistic processes that can be modeled as a birth-and-death process by proposing several criteria for this ...
In this paper we propose to use Fuzzy Sets to represent the previsional information related to costs, demands and other variables. Moreover, we suggest ...
Genetic algorithm is a random search method evolved based ... Recent advances in hybrid priority-based genetic algorithms for logistics and SCM network design[J].
Aug 2, 2022 · This paper proposes an immune genetic algorithm to optimize the logistics scheduling problem, but the basic immune genetic algorithm has the problems of low ...