An efficient Pareto approach for solving the multi-objective flexible job-shop scheduling problem with regular criteria

Título traducido de la contribución: Enfoque eficiente de Paretiano para solucionar el problema de scheduling Job-shop flexible Multi objetivo con crieterios regulares

Andrés Alberto García León, Stéphane Dauzère-Pérès, Yazid Mati

Resultado de la investigación: Contribución a una revista › Artículo

3 Citas (Scopus)

Resumen

In this paper, a general local search approach for the Multi-Objective Flexible Job-shop Scheduling Problem (MOFJSP) is proposed to determine a Pareto front for any combination of regular criteria. The approach is based on a disjunctive graph, a fast estimation function to evaluate moves and a hierarchical test to efficiently control the set of non-dominated solutions. Four search strategies using two neighborhood structures are developed. Numerical experiments are conducted on test instances of the literature with three sets of criteria to minimize and using metrics to evaluate and compare Pareto fronts. The results show that our approach provides sets of non-dominated solutions of good quality.
Idioma originalInglés
Páginas (desde-hasta)187-200
Número de páginas14
PublicaciónComputers and Operations Research
Volumen108
DOI
EstadoPublicada - 1 ago 2019

Palabras clave

  • Flexible job-shop scheduling
  • Multi-objective
  • Regular criteria
  • Pareto optimization
  • Local search

Citar esto

García León, Andrés Alberto ; Dauzère-Pérès, Stéphane ; Mati, Yazid. / An efficient Pareto approach for solving the multi-objective flexible job-shop scheduling problem with regular criteria. En: Computers and Operations Research. 2019 ; Vol. 108. pp. 187-200.
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abstract = "In this paper, a general local search approach for the Multi-Objective Flexible Job-shop Scheduling Problem (MOFJSP) is proposed to determine a Pareto front for any combination of regular criteria. The approach is based on a disjunctive graph, a fast estimation function to evaluate moves and a hierarchical test to efficiently control the set of non-dominated solutions. Four search strategies using two neighborhood structures are developed. Numerical experiments are conducted on test instances of the literature with three sets of criteria to minimize and using metrics to evaluate and compare Pareto fronts. The results show that our approach provides sets of non-dominated solutions of good quality.",
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García León, AA, Dauzère-Pérès, S & Mati, Y 2019, 'An efficient Pareto approach for solving the multi-objective flexible job-shop scheduling problem with regular criteria', Computers and Operations Research, vol. 108, pp. 187-200. https://doi.org/10.1016/j.cor.2019.04.012

An efficient Pareto approach for solving the multi-objective flexible job-shop scheduling problem with regular criteria. / García León, Andrés Alberto; Dauzère-Pérès, Stéphane ; Mati, Yazid.

En: Computers and Operations Research, Vol. 108, 01.08.2019, p. 187-200.

Resultado de la investigación: Contribución a una revista › Artículo

TY - JOUR

T1 - An efficient Pareto approach for solving the multi-objective flexible job-shop scheduling problem with regular criteria

AU - García León, Andrés Alberto

AU - Dauzère-Pérès, Stéphane

AU - Mati, Yazid

PY - 2019/8/1

Y1 - 2019/8/1

N2 - In this paper, a general local search approach for the Multi-Objective Flexible Job-shop Scheduling Problem (MOFJSP) is proposed to determine a Pareto front for any combination of regular criteria. The approach is based on a disjunctive graph, a fast estimation function to evaluate moves and a hierarchical test to efficiently control the set of non-dominated solutions. Four search strategies using two neighborhood structures are developed. Numerical experiments are conducted on test instances of the literature with three sets of criteria to minimize and using metrics to evaluate and compare Pareto fronts. The results show that our approach provides sets of non-dominated solutions of good quality.

AB - In this paper, a general local search approach for the Multi-Objective Flexible Job-shop Scheduling Problem (MOFJSP) is proposed to determine a Pareto front for any combination of regular criteria. The approach is based on a disjunctive graph, a fast estimation function to evaluate moves and a hierarchical test to efficiently control the set of non-dominated solutions. Four search strategies using two neighborhood structures are developed. Numerical experiments are conducted on test instances of the literature with three sets of criteria to minimize and using metrics to evaluate and compare Pareto fronts. The results show that our approach provides sets of non-dominated solutions of good quality.

KW - Flexible job-shop scheduling

KW - Multi-objective

KW - Regular criteria

KW - Pareto optimization

KW - Local search

U2 - https://doi.org/10.1016/j.cor.2019.04.012

DO - https://doi.org/10.1016/j.cor.2019.04.012

M3 - Artículo

VL - 108

SP - 187

EP - 200

JO - Computers and Operations Research

JF - Computers and Operations Research

SN - 0305-0548

ER -

García León AA, Dauzère-Pérès S, Mati Y. An efficient Pareto approach for solving the multi-objective flexible job-shop scheduling problem with regular criteria. Computers and Operations Research. 2019 ago 1;108:187-200. https://doi.org/10.1016/j.cor.2019.04.012

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