Revistas de investigación UNMSM

Multi-objective optimization to the problem of distributing plant using genetic algorithms: preliminary issues for a proposed solution

Authors

  • Edgar Cruz Ruiz Lizama Universidad Nacional Mayor de San Marcos

DOI:

https://doi.org/10.15381/idata.v17i2.12057

Keywords:

Facility Layout Problem, meta heuristics, optimization, genetic algorithms

Abstract

The article reviews the state of the art and theoretical concepts needed to develop a proposed solution to the Facility Layout Problem FLP. Article concepts such as meta heuristics, evolutionary computation, evolutionary programming, genetic algorithms, aimed to propose an alternative solution to the difficult problem of plant distribution are examined.

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Author Biography

  • Edgar Cruz Ruiz Lizama, Universidad Nacional Mayor de San Marcos
    Magister en Informática PUCP, Ingeniero Industrial UNMSM. Docente Principal del DAISI, Facultad de Ingeniería Industrial UNMSM.

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Published

2014-12-20

Issue

Vol. 17 No. 2 (2014)

Section

Sistemas e Informática

License

Copyright (c) 2014 Edgar Cruz Ruiz Lizama

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

AUTHORS RETAIN THEIR RIGHTS:

a. Authors retain their trade mark rights and patent, and also on any process or procedure described in the article.

b. Authors retain their right to share, copy, distribute, perform and publicly communicate their article (eg, to place their article in an institutional repository or publish it in a book), with an acknowledgment of its initial publication in the INDUSTRIAL DATA.

c. Authors retain theirs right to make a subsequent publication of their work, to use the article or any part thereof (eg a compilation of his papers, lecture notes, thesis, or a book), always indicating the source of publication (the originator of the work, journal, volume, number and date).

How to Cite

Multi-objective optimization to the problem of distributing plant using genetic algorithms: preliminary issues for a proposed solution. (2014). Industrial Data, 17(2), 120-137. https://doi.org/10.15381/idata.v17i2.12057