Facility Layout Design Using Genetic Algorithm Approach

The study addresses a Quadratic Assignment Model (QAP) of the Facility Layout Problem (FLP). The proposed mathematical model minimizes the frequency of material handling among the facilities of manufacturing system subjected to production derived constraints. A genetic algorithm (GA)-based solution approach is used to elicit the shortest distance among different workstations in a realistic way. The modest genetic operators are embedded with the emendation operation that enables the mapping of optimal results obtained from the other heuristics used in previous research. The effectiveness of the genetic algorithm solution methodology is appraised on the benchmark problems reported in the literature. The efficacy of the modest genetic operators is presented in the comparative outputs from the best-known global solutions that alludes to the probability of amelioration in the local search space of the genetic algorithm