@inproceedings{8cf38f51af924d4793b909ad98d73eda,
title = "Multi-agent based genetic algorithm for JSSP",
abstract = "A novel multi-agent based on Genetic Algorithm (GA) is proposed to solve Job-Shop Scheduling Problem (JSSP). This algorithm not only can accelerate the creation of initial population and the selection of evaluation population, but also can control the processing of selection, crossover and mutation in an intelligent way. Job-shop benchmarks are used to evaluate the efficiency and performance of the proposed algorithm. The experimental result shows it has better optimal performance.",
keywords = "Genetic algorithms, Job-shop Scheduling Problem (JSSP), Multi-agent",
author = "Yan Chen and Li, \{Zeng Zhi\} and Wang, \{Zhi Wen\}",
year = "2004",
language = "英语",
isbn = "0780384032",
series = "Proceedings of 2004 International Conference on Machine Learning and Cybernetics",
pages = "267--270",
booktitle = "Proceedings of 2004 International Conference on Machine Learning and Cybernetics",
note = "Proceedings of 2004 International Conference on Machine Learning and Cybernetics ; Conference date: 26-08-2004 Through 29-08-2004",
}