Facility layout problems concerning space layout optimization have been investigated in depth by researchers in many engineering fields. In this paper, a particular facility layout problem with aisles and two objectives at minimizing total cost of material handling and maximizing adjacent requirement between resources is discussed and formulated as an nonlinear mixed-integer programming. To solve the NP-hard problem, a multiple objective genetic algorithm approach with local search method is developed. The application on a practical FLP case and numerical analysis show the effectiveness and efficiency of the proposed method on FLPs. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Zhou, G., Ye, M., Cao, Z., & Ye, F. (2006). A Genetic Algorithm Approach on a Facility Layout Design Problem with Aisles (pp. 1008–1013). https://doi.org/10.1007/978-3-540-37275-2_127
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