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Research Area: Metaheuristic Computing
In this paper, a renowned meta-heuristic algorithm named chemical reaction optimization (CRO) is applied to solve the Dynamic Facility Layout Problem (DFLP). DFLP is an NP-hard problem. This work employed chemical reaction optimization to optimize the total manufacturing cost in economic sight. Chemical reaction optimization is a population based metaheuristic algorithm. CRO is applied to DFLP by redesigning its basic operators and designing two new additional operators to get optimal results. The two additional operators are selection and repair operators. The proposed algorithm based on CRO is tested on a benchmark dataset and compared with other algorithms. The experimental results show that our proposed method gives better results than other algorithms in terms of minimization of cost.
Keywords:
Chemical reaction optimization
Static Facility Layout
Dynamic Facility Layout
NP-hard
Optimization
Author(s) Name: Md. Rakibul Hasan Molla, Moushan Naznin, Md. Rafiqul Islam
Journal name:
Conferrence name: International Conference on Computer, Communication and Signal Processing (ICCCSP)
Publisher name: IEEE
DOI: 10.1109/ICCCSP49186.2020.9315277
Volume Information: 978-1-7281-6509-7/20/$31.00
