Global robot Path Planning using GA for Large Grid Maps: Modelling, Performance and Experimentation

In this paper, the efficiency of genetic algorithm (GA) approach to address the problem of global path planning for mobile robots in large-scale grid environments is revisited and assessed. First, an efficient GA path planner to find an (or near) optimal path in a grid map is proposed. In particular, lar...

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Bibliographic Details
Main Author: Alajlan, Maram (author)
Other Authors: Chaari, Imen (author), Koubâa, Anis (author), Bennaceur, Hachemi (author), Ammar, Adel (author), Youssef, Habib (author)
Format: article
Language:eng
Published: 2016
Subjects:
Mobile robots
Genetic algorithms
Global path planning
Online Access:http://hdl.handle.net/10400.22/9221
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/9221

Internet

http://hdl.handle.net/10400.22/9221

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