政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/73494

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | 全文筆數/總筆數 : 113318/144297 (79%)
造訪人次 : 50954071 線上人數 : 928

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 > Item 140.119/73494

請使用永久網址來引用或連結此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/73494

題名:	A hybrid EDA with ACS for solving permutation flow shop scheduling
作者:	陳春龍 Tzeng, Yeu-Ruey;Chen, Chun-Lung;Chen, Chuen-Lung
貢獻者:	資管系
關鍵詞:	Ant colony system;Estimation of distribution algorithm;Permutation flow shop scheduling;Makespan
日期:	2012-06
上傳時間:	2015-02-12 14:18:43 (UTC+8)
摘要:	This paper proposes a hybrid estimation of distribution algorithm (EDA) with ant colony system (ACS) for the minimization of makespan in permutation flow shop scheduling problems. The core idea of EDA is that in each iteration, a probability model is estimated based on selected members in the iteration along with a sampling method applied to generate members from the probability model for the next iteration. The proposed algorithm, in each iteration, applies a new filter strategy and a local search method to update the local best solution and, based on the local best solution, generates pheromone trails (a probability model) using a new pheromone-generating rule and applies a solution construction method of ACS to generate members for the next iteration. In addition, a new jump strategy is developed to help the search escape if the search becomes trapped at a local optimum. Computational experiments on Taillard’s benchmark data sets demonstrate that the proposed algorithm generated high-quality solutions by comparing with the existing population-based search algorithms, such as genetic algorithms, ant colony optimization, and particle swarm optimization.
關聯:	The International Journal of Advanced Manufacturing Technology,60(9-12),1139-1147
資料類型:	article
DOI 連結:	http://dx.doi.org/10.1007/s00170-011-3671-1
DOI:	10.1007/s00170-011-3671-1
顯示於類別:	[資訊管理學系] 期刊論文

文件中的檔案:

檔案	描述	大小	格式	瀏覽次數
1139-1147.pdf		178Kb	Adobe PDF2	1506	檢視/開啟

在政大典藏中所有的資料項目都受到原著作權保護.

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

資料載入中.....