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52.012  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 Three criteria are considered in addition to this initial cost of production: the cost of the out-of-date products, the cost of the distribution discou...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

Geometric programming problem is a powerful tool for solving some special type nonlinear programming problems. In the last few years we have seen a very rapid development on solving multiobjective geometric programming problem. A few mathematical programm... see more

Compared to conventional vehicles Hybrid Electric Vehicles (HEVs) provide fairly high fuel economy with lower emissions. To enhance HEV performance in terms of fuel economy and emissions, and ensure user satisfaction with driving performance, the need for... see more

The ant multi-criteria algorithm for feed forward neural networks training is proposed. It is used two criteria: the error of generalization and complexity. It is represented a review of neural network learning using swarm algorithms. As a result of train... 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

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