On the Adequacy of Tabu Search for Global Robot Path Planning Problem in Grid Environments

被引:24
作者
Chaari, Imen [1 ,2 ]
Koubaa, Anis [2 ,3 ,4 ]
Bennaceur, Hachemi [5 ]
Ammar, Adel [5 ]
Trigui, Sahar [1 ,2 ]
Tounsi, Mohamed [3 ]
Shakshuki, Elhadi [6 ]
Youssef, Habib [7 ]
机构
[1] Univ Manouba ENSI, Manouba, Tunisia
[2] Cooperat Intelligent Networked Syst COINS Res Grp, Riadh, Saudi Arabia
[3] Prince Sultan Univ, Coll Comp & Informat Sci, Riadh, Saudi Arabia
[4] Polytech Inst Porto, CISTER INESC TEC, ISEP, Oporto, Portugal
[5] Al Imam Mohamed bin Saud Univ, Res Unit Sci & Technol, Riadh, Saudi Arabia
[6] Acadia Univ, Jodrey Sch Comp Sci, Wolfville, NS B0P 1X0, Canada
[7] Univ Sousse, PRINCE Res Unit, Sousse, Tunisia
来源
5TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT-2014), THE 4TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2014) | 2014年 / 32卷
关键词
Mobile robots; Global path planning; Tabu search;
D O I
10.1016/j.procs.2014.05.466
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper investigates the capabilities of tabu search for solving the global path planning problem in grid maps. Accordingly, a tabu search system model is designed and a tabu search planner algorithm for solving the path planning problem is proposed. A comprehensive simulation study is conducted using the proposed model and algorithm, in terms of solution quality and execution time. A comparison between our results with those of A* and genetic algorithms (GA) is presented for small, medium and large-scale grid maps. Simulation results show that the tabu search planner is able to find the optimal solution for small scale environments. However, for large scale maps, it provides near-optimal solutions with small gap while ensuring shorter execution times as compared to the A* Algorithm. A discussion about the advantages and limitations of TS for solving a path planning problem is also presented. (C) 2014 Published by Elsevier B.V.
引用
收藏
页码:604 / 613
页数:10
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