A Multi-objective Genetic Algorithm for the Software Project Scheduling Problem

Author(s):  
Abel García-Nájera ◽  
María del Carmen Gómez-Fuentes
2014 ◽  
Vol 15 ◽  
pp. 136-148 ◽  
Author(s):  
Francisco Luna ◽  
David L. González-Álvarez ◽  
Francisco Chicano ◽  
Miguel A. Vega-Rodríguez

2015 ◽  
Vol 719-720 ◽  
pp. 1268-1274 ◽  
Author(s):  
Lu Cheng ◽  
Guang Rui Liao ◽  
Zhen Yuan Liu

In this paper, we address the project scheduling problem with the aim of making the best use of people's talents while minimizing project makespan and the amount of wasted resources. The purpose of proposing this problem is to assist project managers to improve the quality of products and save cost. To solve this problem, we also proposed an immune genetic algorithm (IGA). This algorithm designs feasible schedule for projects. By designing computational experiments carried out on j60 from PSPLIB, we evaluate the performance of proposed IGA as well as compare it with traditional GA. It turns out that proposed IGA performs much better in the aspect of improving diversity and minimizing makespan, which provides more diverse and effective solutions.


2018 ◽  
Vol 202 ◽  
pp. 145-161 ◽  
Author(s):  
Miguel Ángel Vega-Velázquez ◽  
Abel García-Nájera ◽  
Humberto Cervantes

Sign in / Sign up

Export Citation Format

Share Document