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基于特征解选取的高维多目标可视化研究

毕晓君 李博 王珏

哈尔滨工程大学学报Issue(9):1179-1187,9.
哈尔滨工程大学学报Issue(9):1179-1187,9.DOI:10.3969/j.issn.1006-7043.201303061

基于特征解选取的高维多目标可视化研究

The visualization of high dimension multi-objective based on the characteristic solution selection

毕晓君 1李博 1王珏1

作者信息

  • 1. 哈尔滨工程大学 信息与通信工程学院,黑龙江 哈尔滨 150001
  • 折叠

摘要

Abstract

Current visualization techniques failed to effectively demonstrate the Pareto optimal solutions of high di-mensional multi-objective optimization problems. In view of this problem, a new graphical visualization technology of n-dimensional Pareto front based on the selection of characteristic solutions was proposed. First, solutions with obvious characteristics in the optimal solutions were collected in allusion to the feature of multi-objective optimiza-tion problems. After that, two objective information sharing mechanisms were proposed aiming at different decision needs and the characteristic solutions were sorted effectively after sharing objective information. Finally, a sub-graphic form was drawn. In this method, redundancy solutions of similar performance in Pareto optimal solutions were eliminated;objective information of characteristic solutions was sorted, the trend of performance and the deci-sion information of decision-making were visualized effectively. The multi-dimensional objective visualization model was designed based on the idea. This method achieves the purpose that the decision-maker can conveniently analyze the Pareto optimal solutions and make decisions.

关键词

高维多目标/可视化技术/特征解选取/n维图表可视化/Pareto前沿决策

Key words

high dimensional multi-objective/visualization technology/characteristic solution selection/n-dimen-sional diagrams visualization technology/P areto front decision

分类

信息技术与安全科学

引用本文复制引用

毕晓君,李博,王珏..基于特征解选取的高维多目标可视化研究[J].哈尔滨工程大学学报,2013,(9):1179-1187,9.

基金项目

国家自然科学基金资助项目(61175126);中央高校基本科研业务费专项基金资助项目( HEUCFZ1209);教育部博士点基金资助项目(20112304110009). ()

哈尔滨工程大学学报

OA北大核心CSCDCSTPCD

1006-7043

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