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题名:
a hypervolume based approach for minimal visual coverage shortest path
作者: Li Jie ; Zheng Changwen ; Hu Xiaohui
会议文集: 2011 IEEE Congress of Evolutionary Computation, CEC 2011
会议名称: 2011 IEEE Congress of Evolutionary Computation, CEC 2011
会议日期: 5-Jun-20
出版日期: 2011
会议地点: New Orleans, LA, United states
关键词: Approximation algorithms ; Mathematical operators
出版地: United States
收录类别: EI
ISBN: 9781424478347
部门归属: (1) Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China; (2) National Key Laboratory of Integrated Information System Technology, Institute of Software, Chinese Academy of Sciences, Beijing, China
英文摘要: In this paper, the minimal visual coverage shortest path in raster terrain is studied with the proposal of a hypervolume contribution based multiobjective evolutionary approach. The main feature of the presented method is that all individuals in the population are periodically replaced by the selected non-dominated candidates in the archive based on hypervolume contribution, besides the well designed evolutionary operators and some popular techniques such as dominated relation and archive. Our algorithm may obtain well distributed Pareto set approximation efficiently, which is superior to the implementations based on the framework of NSGA-II and SMS-EMOA with respect to the hypervolume. © 2011 IEEE.
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/14381
Appears in Collections:综合信息系统技术国家级重点实验室 _会议论文

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Recommended Citation:
Li Jie,Zheng Changwen,Hu Xiaohui. a hypervolume based approach for minimal visual coverage shortest path[C]. 见:2011 IEEE Congress of Evolutionary Computation, CEC 2011. New Orleans, LA, United states. 5-Jun-20.
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