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A novel multi-objective Interactive Coral Reefs Optimization algorithm for the Unequal Area Facility Layout Problem
Swarm and Evolutionary Computation ( IF 8.2 ) Pub Date : 2020-03-25 , DOI: 10.1016/j.swevo.2020.100688
L. Garcia-Hernandez , L. Salas-Morera , C. Carmona-Muñoz , A. Abraham , S. Salcedo-Sanz

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.



中文翻译:

不等面积设施布局问题的新型多目标交互式珊瑚礁优化算法

不平等区域设施布局问题(UA-FLP)已在文献中广泛使用多种启发式和元启发式方法进行分析,以优化一些定性标准,同时考虑了不同的限制和约束。但是,从未考虑过设计者(Decision Maker,DM)的主观意见以及定量标准和限制。这项工作提出了一种基于交互式珊瑚礁优化(ICRO)算法的UA-FLP新方法,该算法结合了对定量和定性(DM观点)功能的同时考虑。详细说明了算法的实现方式,包括在问题的适应度函数中共同考虑定量和定性方面的方式。本文的实验部分说明了考虑三个不同的硬UA-FLP实例时,在UA-FLP问题中包括定性方面的影响。实证结果表明,所提出的方法能够将DM偏好合并到所获得的布局中,而不会对解决方案的定量部分产生太大影响。

更新日期:2020-03-25
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