English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 84662/113307 (75%)
造訪人次 : 22351051      線上人數 : 607
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/122102
    請使用永久網址來引用或連結此文件: http://nccur.lib.nccu.edu.tw/handle/140.119/122102

    題名: On GPU Implementation of the Island Model Genetic Algorithm for Solving the Unequal Area Facility Layout Problem
    作者: 周平
    Chou, Ping
    Sun, Xue;Lai, Lien-Fu;Chou, Ping;Chen, Liang-Rui;Wu, Chao-Chin
    貢獻者: 資管碩二
    關鍵詞: unequal area facility layout problem;parallel computing;island model;genetic algorithm;GPU
    日期: 2018-09
    上傳時間: 2019-01-23 12:08:00 (UTC+8)
    摘要: Facility layout problem (FLP) is one of the hottest research areas in industrial engineering. A good facility layout can achieve efficient production management, improve production efficiency, and create high economic values. Because FLP is an NP-hard problem, meaning it is impossible to find the optimal solution when problem becomes sufficiently large, various evolutionary algorithms (EAs) have been proposed to find a sub-optimal solution within a reasonable time interval. Recently, a genetic algorithm (GA) was proposed for unequal area FLP (UA-FLP), where the areas of facilities are not identical. More precisely, the GA is an island model based, which is called IMGA. Since EAs are still very time consuming, many efforts have been devoted to how to parallelize various EAs including IMGA. In recent work, Steffen and Dietmar proposed how to parallelize island models of EAs. However, their parallelization approaches are preliminary because they focused mainly on comparing the performances between different parallel architectures. In addition, they used one mathematical function to model the problem. To further investigate on how to parallelize the IMGA by GPU, in this paper we propose multiple parallel algorithms, for each individual step in the IMGA when solving the industrial engineering problem, UA-FLP, and conduct experiments to compare their performances. After integrating better algorithms for all steps into the IMGA, our GPU implementation outperforms the CPU counterpart and the best speedup can be as high as 84.
    關聯: Applied Sciences, Vol.8, No.9, pp.1604
    資料類型: article
    DOI 連結: http://dx.doi.org/10.3390/app8091604
    DOI: 10.3390/app8091604
    顯示於類別:[資訊管理學系] 期刊論文


    檔案 描述 大小格式瀏覽次數
    applsci-08-01604-v2.pdf8013KbAdobe PDF16檢視/開啟


    社群 sharing

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回饋