Conflict-free automated guided vehicles routing using multi-objective genetic algorithm
The study presents an algorithm for conflict-free Automated Guided Vehicle (AGV) routing minimizing travel time and total job tardiness. The problem is represented using one sub-chromosome for dispatching represented with random keys and the remaining sub-chromosomes for routing represented with pri...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Maxwell Science Publication
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/28710/ http://psasir.upm.edu.my/id/eprint/28710/ http://psasir.upm.edu.my/id/eprint/28710/1/Conflict-free%20automated%20guided%20vehicles%20routing%20using%20multi-objective%20genetic%20algorithm.pdf |