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Solving the MCDP Using a League Championship Algorithm

  • Ricardo Soto
  • Broderick Crawford
  • Rodrigo Olivares
  • Jaime Romero Fernández
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10868)

Abstract

This paper focuses on modeling and solving the Manufacturing Cell Design Problem (MCDP) through a Algorithm (LCA). This problem considers the grouping of machines and parts into sets called cells. Each cell contains machines that process parts with the goal of minimizing the movements between cells. LCA represents problem solutions as teams, simulating their regular championship environment. During each week the teams generate new formations from an environment analysis both internal and external, in order to improve the performance of teams. We illustrate experimental results on well-known 90 benchmarks, where the global optimum is reached in almost all instances.

Keywords

League Championship Algorithm Manufacturing Cell Design Problem Metaheuristics Combinatorial optimization 

Notes

Acknowledgment

Ricardo Soto is supported by Grant CONICYT/FONDECYT/REGULAR/1160455. Broderick Crawford is supported by Grant CONICYT/FONDECYT/REGULAR/1171243. Rodrigo Olivares is supported by CONICYT/FONDEF/IDeA/ID16I10449, FONDECYT/STIC-AMSUD/17STIC-03, FONDECYT/MEC/MEC80170097, and Postgraduate Grant Pontificia Universidad Católica de Valparaíso (INF - PUCV 2015–2018).

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Pontificia Universidad Católica de ValparaísoValparaísoChile
  2. 2.Universidad de ValparaísoValparaísoChile

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