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| a multi-objective evolutionary algorithm for shortest path with maximal visual coverage | |
| Zheng Changwen; Yin Huafei; Li Jie; Lu Min | |
| 2011 | |
| Conference Name | 2011 IEEE International conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011 |
| Source | Proceedings - 2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011 |
| Pages | 232-235 |
| Conference Date | December 14, 2011 - December 17, 2011 |
| Conference Place | Wuhan, Hubei, China |
| Indexed Type | EI |
| ISBN | 9780769546230 |
| Department | (1) Science and Technology on Integrated Information System Laboratory Institute of Software Chinese Academy of Sciences Beijing China |
| 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.; 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. |
| Keyword | Graph Theory Motion Planning Multiobjective Optimization |
| Sponsorship | IEEE Tainan Section; Huazhong University of Science and Technology; National Cheng Kung University |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16285 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Zheng Changwen,Yin Huafei,Li Jie,et al. a multi-objective evolutionary algorithm for shortest path with maximal visual coverage[C],2011:232-235. |
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