a multi-objective evolutionary algorithm for shortest path with maximal visual coverage
文献类型：会议论文
| 作者 | Zheng Changwen ; Yin Huafei ; Li Jie ; Lu Min |
| 出版日期 | 2011 |
| 会议名称 | 2011 IEEE International conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011 |
| 会议日期 | December 14, 2011 - December 17, 2011 |
| 会议地点 | Wuhan, Hubei, China |
| 关键词 | Graph theory Motion planning Multiobjective optimization |
| 页码 | 232-235 |
| 中文摘要 | 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. |
| 英文摘要 | 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. |
| 收录类别 | EI |
| 会议主办者 | IEEE Tainan Section; Huazhong University of Science and Technology; National Cheng Kung University |
| 会议录 | Proceedings - 2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011
 |
| 语种 | 英语 |
| ISBN号 | 9780769546230 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16285]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 推荐引用方式 GB/T 7714 | 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. |
入库方式： OAI收割
来源：软件研究所
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