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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Summary: | 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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ISBN: | 9783319422961 3319422960 |
ISSN: | 0302-9743 1611-3349 |
DOI: | 10.1007/978-3-319-42297-8_58 |