Title :
Analysis, mathematical modeling and algorithm for software project scheduling using BCGA
Author :
Hanchate, Dinesh Bhagwan
Author_Institution :
Comput. Eng. Dept., Vidya Pratishthan´´s Coll. of Eng., Baramati, India
Abstract :
Several applications of G.A have been designed for various areas where we can do optimum scheduling among the various approaches used for the scheduling. Task can be scheduled by first come first serve basis, by time sharing system, by priority bi- chromosomal representation in genetic has been used as a base of the scheduling technique which is incorporated clustering and merging. This paper shows the idea about the prototype for scheduling various tasks in software project.
Keywords :
genetic algorithms; merging; pattern clustering; scheduling; software engineering; bi-chromosomal genetic algorithm; clustering technique; merging technique; software project scheduling; time sharing system; Schedules; BCGA[1]; Genetic algorithm; employee in project; task scheduling;
Conference_Titel :
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6582-8
DOI :
10.1109/ICICISYS.2010.5658695