17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05) Performance Evaluation of Hybrid Genetic Algorithm for Assembly Line Scheduling Hong Kong, China November 14-November 16 ISBN: 0-7695-2488-5
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICTAI.2005.94
In this paper; we present a new approach to tackle scheduling problems in manufacturers? assembly line. Former solutions also provide resu..l..ts, yet they turn out to be ineffective or time-consuming. Our approach involves several new schemes in crossover and mutation, which reduce its processing time. In order to avoid premature convergences of the chromosomes, we choose a self-adaptive mutation rate and a Clone-Replacement approach. We then try an alternative called Derivative Tree Crossover. Finally, the paper examines this algorithm?s efficiency, which outperforms the previous methods.
Citation:
Song Hui, "Performance Evaluation of Hybrid Genetic Algorithm for Assembly Line Scheduling," ictai, pp.224-231, 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||