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A novel multi-objective Interactive Coral Reefs Optimization algorithm for the Unequal Area Facility Layout Problem

Authors :
Ajith Abraham
Sancho Salcedo-Sanz
Lorenzo Salas-Morera
Carlos Carmona-Muñoz
Laura García-Hernández
Source :
Swarm and Evolutionary Computation 55, 100688 (2020), Helvia. Repositorio Institucional de la Universidad de Córdoba, instname
Publication Year :
2020
Publisher :
Elsevier, 2020.

Abstract

The Unequal Area Facility Layout Problem (UA-FLP) has been widely analyzed in the literature using several heuristics and meta-heuristics to optimize some qualitative criteria, taking into account different restrictions and constraints. Nevertheless, the subjective opinion of the designer (Decision Maker, DM) has never been considered along with the quantitative criteria and restrictions. This work proposes a novel approach for the UA-FLP based on an Interactive Coral Reefs Optimization (ICRO) algorithm, which combines the simultaneous consideration of both quantitative and qualitative (DM opinion) features. The algorithm implementation is explained in detail, including the way of jointly considering quantitative and qualitative aspects in the fitness function of the problem. The experimental part of the paper illustrates the effect of including qualitative aspects in UA-FLP problems, considering three different hard UA-FLP instances. Empirical results show that the proposed approach is able to incorporate the DM preferences in the obtained layouts, without affecting much to the quantitative part of the solutions.

Details

Language :
English
Database :
OpenAIRE
Journal :
Swarm and Evolutionary Computation 55, 100688 (2020), Helvia. Repositorio Institucional de la Universidad de Córdoba, instname
Accession number :
edsair.doi.dedup.....d6f66cc5e7860c539a73fa9480e0567c