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35.003  Articles
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ENGLISH ABSTRACT: The Multi-Objective Generalized Assignment Problem (MGAP) with two objectives, where one objective is linear and the other one is non-linear, has been considered, with the constraints that a job is assigned to only one ... see more

ENGLISH ABSTRACT: The Multi-Objective Generalized Assignment Problem (MGAP) with two objectives, where one objective is linear and the other one is non-linear, has been considered, with the constraints that a job is assigned to only one ... see more

Using Pareto optimization in Multi-Objective Reinforcement Learning (MORL) leads to better learning results for network defense games. This is particularly useful for network security agents, who must often balance several goals when choosing what action ... see more

This paper deals with the multiobjective optimization problem of an agroalimentary production workshop. Three criteria are considered in addition to this initial cost of production: the cost of the out-of-date products, the cost of the distribution discou... see more

In given article the questions of designing of telecommunication networks, resistant to external influences on the basis of the multicriteria optimization Pareto method are considered. Multicriterion optimization issues and methods based on Pareto conclus... see more

in this paper, a Multi-Objective Particle Swarm optimization (MOPSO) technique is proposed for solving the Optimal Power Flow (OPF) problem in a deregulated environment. The OPF problem is formulated as a nonlinear constrained multiobjective optimization ... see more

Drug interactions is the interaction occurs between drugs that consumption simultaneously. Drug interactions can produce a good effect on patients, but not rarely produce adverse effects. Patients with diabetes and hypertension expected to control blood p... see more

Improving network security is a difficult problem that requires balancing several goals, such as defense cost and need for network efficiency, to achieve proper results. Modeling the network as a game and using optimization problems to select the best mov... see more

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