Study of Multi-project Conflicts by IGA Based on the Improvement of Fitness Function
- 10.2991/iccia.2012.294How to use a DOI?
- component, fitness genetic algorithm, multi-project conflict, improved, multi-project management, optimization resource
In the multi-project resource conflicts exist in the application of standard genetic algorithm fitness function exist "premature" problem, Genetic algorithm can not find the convergence of these issue. Based on the above issues ,an improved genetic algorithm (IGA) are appropriate, From the fitness function, mutation and selection methods to improve two aspects are described, the Improved genetic algorithm for simple genetic algorithm has the advantage of generations of each evolution, offspring parent always retains the best individual to the "high-fitness model for the ancestors of the family orientation" search out better samples, and verified through experiments the effectiveness of the algorithm
- © 2013, the Authors. Published by Atlantis Press.
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Cite this article
TY - CONF AU - Zhifeng Lv AU - Xiangdong Ma PY - 2014/05 DA - 2014/05 TI - Study of Multi-project Conflicts by IGA Based on the Improvement of Fitness Function BT - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012) PB - Atlantis Press SP - 1191 EP - 1194 SN - 1951-6851 UR - https://doi.org/10.2991/iccia.2012.294 DO - 10.2991/iccia.2012.294 ID - Lv2014/05 ER -