Comparative analysis of algorithms to search for the shortest path in a maze

被引：0
|
作者：
Karova, Milena [1 ]
Penev, Ivaylo [1 ]
Kalcheva, Neli [1 ]
机构：
[1] Tech Univ Varna, Dept Comp Engn, Varna, Bulgaria
来源：
2016 IEEE INTERNATIONAL BLACK SEA CONFERENCE ON COMMUNICATIONS AND NETWORKING (BLACKSEACOM) | 2016年
关键词：
robots; labyrinth; maze; path finding; backtracking; A*; genetic algorithm;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The aim of the paper is research and comparative analysis of algorithms from the field of artificial intelligence for searching shortest path in a maze. The algorithms studied are A* (A star), backtracking algorithm and genetic algorithm (GAPP Genetic Algorithm Path Planning). The algorithms are compared by two criteria: length of the found path and time for finding the path. The results, presented analytically and graphically, show the application of the three algorithms for mazes with various size and number of obstacles.
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页数：4
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