Gravitational Search Algorithm Application to Optimize an Aggregate Production Planning Problem

Keywords: Gravitational Search Algorithm, Optimization, Evolutionary Computing, Aggregate Production Planning, MATLAB

Abstract

Given the need to find alternatives that allow finding various solutions to the problem of aggregate production planning (APP), this research proposes a solution through the gravitational search algorithm (GSA). Constraint management is included and, likewise, an introduction is made to the benchmark functions to which it has been subjected, which allow to show that the algorithm has the ability to find optimal solutions to problems with a high degree of difficulty; Finally, the results of the proposal are shown, demonstrating that this search and optimization algorithm can be applied to solve these types of problems where there are a large number of variables and constrictions.

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Published
2020-07-05
How to Cite
Ortiz-Licona, A., Seck Tuoh-Mora, J. C., & Montufar-Benítez, M. A. (2020). Gravitational Search Algorithm Application to Optimize an Aggregate Production Planning Problem. Pädi Boletín Científico De Ciencias Básicas E Ingenierías Del ICBI, 8(15), 1-6. https://doi.org/10.29057/icbi.v8i15.4945