Solving bilevel quadratic programming problems and its application

Shamshul Bahar Yaakob*, Junzo Watada

*この研究の対応する著者

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

Bilevel programming is a powerful method recently developed to tackle multi variable and double layer programming problems. These problems appear everywhere especially in the industrial, supply-chain management, and marketing programming applications. In this study, a novel approach was proposed to solve the bilevel quadratic programming problems. The proposed approach named ergodic branch-and-bound method, respectively solving small and large variable-space problems. It's perform better accuracy and computing efficiency compared with traditional approaches even when tackling the non-linear (quadratic) bilevel problems which cannot be solved sometimes by the conventional methods. Furthermore, a logistic distribution centres' application was introduced as an example to present our new proposed approach. The application results indicated that the proposed approach is applicable and advantageous.

本文言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ページ187-196
ページ数10
6883 LNAI
PART 3
DOI
出版ステータスPublished - 2011
外部発表はい
イベント15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011 - Kaiserslautern
継続期間: 2011 9 122011 9 14

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 3
6883 LNAI
ISSN(印刷版)03029743
ISSN(電子版)16113349

Other

Other15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011
CityKaiserslautern
Period11/9/1211/9/14

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)
  • 理論的コンピュータサイエンス

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