Multi-Objective Path Planning for Unrestricted Mobile

被引:8
作者
Guo, Feng [1 ]
Wang, Hongrui [1 ]
Tian, Yantao [1 ]
机构
[1] Jilin Univ, Inst Automat, Sch Commun Engn, Changchun 130022, Peoples R China
来源
2009 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS ( ICAL 2009), VOLS 1-3 | 2009年
关键词
multi objective; path planning; entropy weight; ball and plate system; FUZZY;
D O I
10.1109/ICAL.2009.5262574
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Problem of multi-objective path planning is investigated in this paper for the ball and plate system. The purpose of multi-objective path planning is to obtain the safe and shortest path for the ball to track. Workspace is represented by distance map and hazard map. Weights for multi-objectives are calculated by entropy method for each grid node. Dijkstra algorithm is employed to solve the multi-objective path planning problem finally. As illustrated by simulation results, the path obtained by multi-objective method proposed in this paper is much safer compared with single-objective A(star) algorithm.
引用
收藏
页码:1046 / 1051
页数:6
相关论文
共 14 条
[1]   Hierarchical A* based path planning -: a case study [J].
Autere, A .
KNOWLEDGE-BASED SYSTEMS, 2002, 15 (1-2) :53-66
[2]   A note on the complexity of Dijkstra's algorithm for graphs with weighted vertices [J].
Barbehenn, M .
IEEE TRANSACTIONS ON COMPUTERS, 1998, 47 (02) :263-263
[3]   DYNAMIC PROGRAMMING [J].
BELLMAN, R .
SCIENCE, 1966, 153 (3731) :34-&
[4]   MANAGEMENT MODELS AND INDUSTRIAL APPLICATIONS OF LINEAR-PROGRAMMING [J].
CHARNES, A ;
COOPER, WW .
MANAGEMENT SCIENCE, 1957, 4 (01) :38-91
[5]  
Huang JW, 2008, 2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6, P1965, DOI 10.1109/ICAL.2008.4636483
[6]  
HWANG YK, 1992, COMPUT SURV, V24, P219, DOI 10.1145/136035.136037
[7]   Fuzzy versus statistical linear regression [J].
Kim, KJ ;
Moskowitz, H ;
Koksalan, M .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1996, 92 (02) :417-434
[8]   Multi-objective genetic algorithm and its applications to flowshop scheduling [J].
Murata, T ;
Ishibuchi, H ;
Tanaka, H .
COMPUTERS & INDUSTRIAL ENGINEERING, 1996, 30 (04) :957-968
[10]  
Russell S., 1995, Artificial Intelligence Modern Aapproach