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Title:
a multi-objective evolutionary algorithm for shortest path with maximal visual coverage
Author: Zheng Changwen ; Yin Huafei ; Li Jie ; Lu Min
Source: Proceedings - 2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011
Conference Name: 2011 IEEE International conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011
Conference Date: December 14, 2011 - December 17, 2011
Issued Date: 2011
Conference Place: Wuhan, Hubei, China
Keyword: Graph theory ; Motion planning ; Multiobjective optimization
Indexed Type: EI
ISBN: 9780769546230
Department: (1) Science and Technology on Integrated Information System Laboratory Institute of Software Chinese Academy of Sciences Beijing China
Sponsorship: IEEE Tainan Section; Huazhong University of Science and Technology; National Cheng Kung University
Abstract: In this paper, the shortest path planning problem with maximal visual coverage in the raster terrain is studied with the proposal of a multi-objective evolutionary planner. By using a problem-specific representation of candidate solutions and genetic operators, our planner can handle the objectives of the visual coverage and the path length and find the non-dominated solutions efficiently. Utilizing an external archive, our algorithm may effectively obtain the approximate Pareto front with wide distribution to provide multiple candidates for decision-maker. © 2011 IEEE.
English Abstract: In this paper, the shortest path planning problem with maximal visual coverage in the raster terrain is studied with the proposal of a multi-objective evolutionary planner. By using a problem-specific representation of candidate solutions and genetic operators, our planner can handle the objectives of the visual coverage and the path length and find the non-dominated solutions efficiently. Utilizing an external archive, our algorithm may effectively obtain the approximate Pareto front with wide distribution to provide multiple candidates for decision-maker. © 2011 IEEE.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/16285
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Zheng Changwen,Yin Huafei,Li Jie,et al. a multi-objective evolutionary algorithm for shortest path with maximal visual coverage[C]. 见:2011 IEEE International conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011. Wuhan, Hubei, China. December 14, 2011 - December 17, 2011.
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