Decision-making Tools and Memetic Algorithms in Management and Linear Programming Problems
Operational Research uses a set of tools based on scientific research principles to achieve rational and meaningful management decisions. This article tries to give solution to a highly complex Linear Programming problem by using Simplex method, Solver and a hybrid prototype which combines the theories of Genetic Algorithms with a new local search heuristic technique. Hybridization of these two techniques is becoming known as Memetic Algorithm. Additionally, this article tries to present different techniques to support management decision-making, with the intention of being used increasingly in the business environment sustaining, thus, decisions by mathematics or artificial intelligence and not only by experience.
Year of publication: |
2011
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Authors: | LESACA, Jesus M. Larranaga ; GUERRERO, Ekaitz Zulueta ; UBIS, Fernando Elizagarate ; BERNARDO, Jon Alzola |
Published in: |
REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT. - Facultatea de Management. - Vol. 12.2011, 2, p. 350-365
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Publisher: |
Facultatea de Management |
Subject: | quantitative management | quantitative methods | decision-making | linear programming | operational research | heuristics | hybrid methods | memetic algorithms |
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