Research of Multi-Resource Constrained Project Scheduling base on the genetic algorithm

Author

Wang, Rihong ; Xu, Ying ; Xin, Dandan

Author_Institution

Sch. of Comput. Eng., Qingdao Technol. Univ., Qingdao, China

fYear

2011

fDate

27-29 June 2011

Firstpage

2448

Lastpage

2450

Abstract

The software project scheduling is a complicated problem. The risk and the cost of the software project can be controlled well by a remarkable scheduling. In this paper, an optimization model for Multi-Resource Constrained Project Scheduling is presented to reduce the duration and the cost. A genetic algorithm Base on the Genetic Algorithm is proposed. It gives the method of two sections coding, the fitness_evaluating and the gene repair policy for tasks sequence constraint. The effectiveness of this algorithm is verified by the simulation results.

Keywords

genetic algorithms; project management; scheduling; software development management; fitness evaluating; gene repair policy; genetic algorithm; multiresource constrained project scheduling; optimization model; sections coding; software project scheduling; Genetic algorithms; Maintenance engineering; Optimization; Processor scheduling; Programming; Scheduling; Software; genetic algorithm; multi-constraint; scheduling; software development;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Service System (CSSS), 2011 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-9762-1

Type

conf

DOI

10.1109/CSSS.2011.5974630

Filename

5974630