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Solving a dynamic cell formation problem using metaheuristics. (English) Zbl 1104.92018
Summary: Solving a cell formation (CF) problem in dynamic conditions is going to be discussed by using some traditional metaheuristic methods such as genetic algorithm (GA), simulated annealing (SA) and tabu search (TS). Most of previous researches were done under the static condition. Due to the fact that CF is an NP-hard problem, solving the model using classical optimization methods needs a long computational time. In this research, a nonlinear integer model of CF is first given and then solved by GA, SA and TS. Then, the results are compared with the optimal solution and the efficiency of the proposed algorithms is discussed.

MSC:
92C37Cell biology
90C59Approximation methods and heuristics
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Full Text: DOI
References:
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