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JAIST Repository >
科学技術開発戦略センター 2003～2008 >
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IFSR 2005 >
このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/3951
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| タイトル: | Integration of Multi-objective Genetic Algorithms and Expert Systems for Agroindustrial System Design |
| 著者: | Y., Yandra
Tamura, Hiroyuki |
| キーワード: | multi-objective
genetic algorithms
expert systems
scheduling
agroindustry |
| 発行日: | Nov-2005 |
| 出版者: | JAIST Press |
| 抄録: | This research aims to develop an integrated system for agroindustrial system design based on artificial intelligence approach. In the first instance, a new multi-objective genetic algorithm with Additional Diversity Module (ADM) is developed to optimize combinatorial flow-shop scheduling of an agroindustry. The unique feature of the optimization model used in this research is it uses make-span and Average Product Quality Deterioration (APQD) as optimization objectives. The result of genetic algorithm optimization is a set of compromise solution that called Pareto-optimum solutions. These solutions are then fed to an expert system to finding the most preferred solution by considering higher-level information. A nontrivial case study is then presented to demonstrate the capability of this intelligent system to solve an agroindustrial system design problem. The result indicates that the intelligent system developed in this work is robust and reliable. |
| 記述: | The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.html
IFSR 2005 : Proceedings of the First World Congress of the International Federation for Systems Research : The New Roles of Systems Sciences For a Knowledge-based Society : Nov. 14-17, 2161, Kobe, Japan
Symposium 3, Session 7 : Intelligent Information Technology and Applications Computational Intelligence (1) |
| 言語: | ENG |
| URI: | http://hdl.handle.net/10119/3951 |
| ISBN: | 4-903092-02-X |
| 出現コレクション: | IFSR 2005
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このアイテムのファイル:
| ファイル |
記述 |
サイズ | 形式 |
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| 20004.pdf | | 199Kb | Adobe PDF | 見る/開く |
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