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Efficient Strategies Algorithms for Resource Allocation Problems by Koné, Yacouba Adama; Konaté, Jacqueline; Maà̄ga, Oumar Y.; Tembiné, Hamidou is a Computer Science article available to read on EtoBox.

What is Efficient Strategies Algorithms for Resource Allocation Problems about?

Strategic modelling with a panoramic view plays an important role in decision-making problems. It offers the possibility of generating different solutions before making a decision. This is particularly relevant in critical situations. This article addresses the problem of allocating resources, whether financial, material or human, so that it is optimal under a given set of constraints and inter-dependencies with other systems. To do this, existing strategies such as those of Colonel Blotto are studied in order to evaluate them according to some criteria, including the heterogeneity or homogeneity of resources and/or battlefields. Based on the results of these configurations, we propose distributed strategic learning methods to find better resource allocation strategies. The proposed algorithms are implemented under various scenarios, including incomplete information. Case studies are carried out to test the effectiveness of these new strategies compared to previous ones. A complexity analysis of the different algorithms is also presented.

Who reads Efficient Strategies Algorithms for Resource Allocation Problems?

Author

Koné, Yacouba Adama; Konaté, Jacqueline; Maà̄ga, Oumar Y.; Tembiné, Hamidou

Publisher

MDPI AG; MDPI Open Access Publishing; Basel: MDPI, 2008- (ISSN 1999-4893)

Published

2020

Language

EN

Field

Computer Science (Physical Sciences)