A Multi-direction Prediction Approach for Dynamic Multi-objective Optimization
In the real word, many multi-objective optimization problems are subject to dynamic changing conditions, which may occur in objectives, constraints and parameters. This paper provides a prediction strategy, called multi-direction prediction strategy (MDP), to enhance the performance of multi-objecti...
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| Published in | Intelligent Computing Methodologies Vol. 9773; pp. 629 - 636 |
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| Main Authors | , , |
| Format | Book Chapter |
| Language | English |
| Published |
Switzerland
Springer International Publishing AG
2016
Springer International Publishing |
| Series | Lecture Notes in Computer Science |
| Subjects | |
| Online Access | Get full text |
| ISBN | 9783319422961 3319422960 |
| ISSN | 0302-9743 1611-3349 |
| DOI | 10.1007/978-3-319-42297-8_58 |
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| Abstract | In the real word, many multi-objective optimization problems are subject to dynamic changing conditions, which may occur in objectives, constraints and parameters. This paper provides a prediction strategy, called multi-direction prediction strategy (MDP), to enhance the performance of multi-objective evolutionary optimization algorithms in dealing with dynamic environments. Besides, the proposed prediction method makes use of multiple directions determined by several representative individuals. Our experimental results indicate that MDP can well tackle dynamic multi-objective problems. |
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| AbstractList | In the real word, many multi-objective optimization problems are subject to dynamic changing conditions, which may occur in objectives, constraints and parameters. This paper provides a prediction strategy, called multi-direction prediction strategy (MDP), to enhance the performance of multi-objective evolutionary optimization algorithms in dealing with dynamic environments. Besides, the proposed prediction method makes use of multiple directions determined by several representative individuals. Our experimental results indicate that MDP can well tackle dynamic multi-objective problems. |
| Author | Gong, Dun-wei Rong, Miao Zhang, Yong |
| Author_xml | – sequence: 1 givenname: Miao surname: Rong fullname: Rong, Miao email: Rongmiao307@163.com organization: School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China – sequence: 2 givenname: Dun-wei surname: Gong fullname: Gong, Dun-wei organization: School of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou, China – sequence: 3 givenname: Yong surname: Zhang fullname: Zhang, Yong organization: School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China |
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| Copyright | Springer International Publishing Switzerland 2016 |
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| DOI | 10.1007/978-3-319-42297-8_58 |
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| Editor | Huang, De-Shuang Hussain, Abir Han, Kyungsook |
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| PublicationSubtitle | 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part III |
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| SubjectTerms | Artificial intelligence Dynamic Multi-objective optimization Prediction |
| Title | A Multi-direction Prediction Approach for Dynamic Multi-objective Optimization |
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