會議論文

學年 106
學期 2
發表日期 2018-07-23
作品名稱 A New Two-objective Single Machine Scheduling Problem Considers a Past-sequence-dependent Setup Time and Learning Effect
作品名稱(其他語言)
著者 Shih-Hsin Chen; Yi-Hui Chen
作品所屬單位
出版者
會議名稱 IEEE International Conference on Knowledge Innovation and Invention 2018
會議地點 Jeju, Korea (South)
摘要 This work solved a new two-objective scheduling problem of n jobs considering past-sequence-dependent setup time (PSD) and learning effect (LE) on a single machine. Although researchers gradually consider PSD and LE, there is none who deals with both effects in the bi-criteria problems. The reason is that multi-objective problem is harder than a single objective problem because we need to acquire Pareto solutions. As a result, this paper is the first one who solves this issue. We considered two objective functions. To tackle with this new problem, we proposed a method to solve it effectively. We first analyzed the parameters according to the weights on each position of the two objectives. Then, we matched the weights with the processing time of the jobs. So that two optimal sequences were obtained by this matching approach. In addition, we started to search a new Pareto solution located between the two new solutions. The process was repeated to search a pair of solutions until no new solutions were found. Our approach was very efficient to find out the minimum set of optimal sequences (MSOS). To evaluate the proposed method, we compared it with the benchmark multi-objective algorithm, MOEA/D, on numerous instances. The empirical results had shown the proposed algorithm was effective when searching a set of approximate solutions in a very short CPU time when it was compared with MOEA/D. This proposed algorithm was promising to deal with the two-objective scheduling problem in this research.
關鍵字 Single machine scheduling;Job shop scheduling;Technological innovation;Conferences;Linear programming;Approximation algorithms
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20180723~20180727
通訊作者
國別 KOR
公開徵稿
出版型式
出處
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/121532 )