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- Miyata Satoshi
- Engineous Japan, Inc.
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- Koch Patrick
- Engineous Software
Bibliographic Information
- Other Title
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- 212 多目的遺伝的アルゴリズムAMGAの提案
Description
In this paper, we report a new multi-objective evolutionary algorithm: Archive-based Micro Genetic Algorithm (AMGA), which has developed by Engineous Software. Motivation of the development was mainly driven by two aspects: (1) Recent progress of MOEA studies, (2) Accumulated practice in engineering optimization. In the research field of MOEA(Multi Objective Evolutionary Algorithm), a number of excellent algorithms have been arising year by year since the beginning of 2000. And significant amount of application examples have been accumulated so far. This has been enabled positive cycle between algorithm development and filed application, and AMGA is one of such results. In this paper, beginning with descriptions of algorithmic features which characterize AMGA form other MOEAs, we show performance of proposed algorithm through benchmark problems both in mathematical test functions and in engineering problems, and discuss effectiveness of the algorithm.
Journal
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- The Proceedings of OPTIS
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The Proceedings of OPTIS 2008.8 (0), 207-212, 2008
The Japan Society of Mechanical Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390001205940734336
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- NII Article ID
- 110007703711
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- ISSN
- 24243019
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed