Path Planning for Mobile Agents Using a Genetic Algorithm with a Direction Guided Factor
This paper suggests a novel methodology in collision-free shortest path planning (CFSPP) problems for mobile agents (MAs) using a method that combines a genetic algorithm (GA) and a direction factor toward a target point. In the CFSPP problem, MAs find the shortest path from the starting point to th...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-09-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2079-9292/7/10/212 |