書誌事項
- タイトル別名
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- ツウシン チエン オ フクム タスクスケジューリング モンダイ ノ ヘイレツ ブン シ ゲンテイホウ ニ モトズク タンサクカイホウ
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type:Article
Since the task scheduling problems in the multiprocessor environments belong to the class of strong NP hard combinatorial optimization problem, the depth first search algorithms based on branch and bound(B&B) method are most effective to find an optimal solution. In order to reduce the search time with B&B method, it is the most important key to construct search algorithms with the way to bound many branches in the search space by more accurate lower bounds. However, it seems that there are no algorithms to create such lower bounds with consideration of processing system environments. In this paper, we propose three algorithms to create the lower bounds with consideration of number of processors, the lower bounds with consideration of processing time of successive tasks, and the lower bounds re-calculated in search process. Our experiments show that these algorithms give more accurate lower bounds and improve efficiency of search.
identifier:http://repository.seikei.ac.jp/dspace/handle/10928/362
収録刊行物
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- 成蹊大学理工学研究報告 = The journal of the Faculty of Science and Technology, Seikei University
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成蹊大学理工学研究報告 = The journal of the Faculty of Science and Technology, Seikei University 50 (1), 17-27, 2013-06
成蹊大学理工学部
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詳細情報 詳細情報について
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- CRID
- 1390854717683739776
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- NII論文ID
- 120005305799
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- NII書誌ID
- AA1203510X
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- ISSN
- 18802265
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- NDL書誌ID
- 024762927
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- IRDB
- NDL
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