Study of Multi-project Conflicts by IGA Based on the Improvement of Fitness Function

DOI

10.2991/iccia.2012.294How to use a DOI?

Keywords

component, fitness genetic algorithm, multi-project conflict, improved, multi-project management, optimization resource

Abstract

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

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  -