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A Hybrid Genetic Search Based Approach to Solve Single Period Facility Layout Problem
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並列摘要
Single period facility layout problem (SFLP) is a well known combinatorial optimization problem and is traditionally formulated as a quadratic assignment problem (QAP) which is a NP-Hard problem. Therefore, heuristic and meta-heuristic are widely used to solve it. This paper proposes a new hybrid genetic search based approach (referred as GA_SC_PEM) to solve SFLP. We propose a new crossover and mutation scheme. Empirical investigation was conducted and it was found that the proposed approach gives promising solution in a reasonable computational time.
參考文獻
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被引用紀錄
Liang, S. H. (2006). 應用在燃料電池的甲醇濃度感測方法研究 [doctoral dissertation, National Tsing Hua University]. Airiti Library. https://doi.org/10.6843/NTHU.2006.00557
周珊沂（2015）。肉桂酸類衍生物抑制真菌之活性〔碩士論文，國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2015.10916
蔡承軒（2009）。應用多組成反應合成色烯類及其他雜環化合物〔碩士論文，國立臺灣師範大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0021-1610201315151261