The Need of Genetic Algorithms (GAs) in Project Scheduling
MLA Style: Nile Tushar Rambhau, Kanneti Lakshmi Tanuja, Murlidhar Revu Rathod, Mohammed Yaser Noaman "The Need of Genetic Algorithms (GAs) in Project Scheduling" International Journal of Engineering Trends and Technology 67.11 (2019):144-147.
APA Style:Nile Tushar Rambhau, Kanneti Lakshmi Tanuja, Murlidhar Revu Rathod, Mohammed Yaser Noaman. The Need of Genetic Algorithms (GAs) in Project Scheduling International Journal of Engineering Trends and Technology, 67(11),144-147.
The first and foremost objective of this paper is to provide an effective solution for software project scheduling i.e. through implementation of Genetic Algorithms in project scheduling techniques. The main theme of software project scheduling is to break a complete project into several subtasks, which in whole will be a complete project. The software project manager has to keep track the schedule and has to stick on that schedule to the maximum. The schedule has to be strictly followed which can be achieved by periodic project status meeting with the members involved in the project. This is achieved with the help of Genetic Algorithm. The Existing techniques are increasingly considered to be inadequate for modeling the unique characteristics of today’s software projects. The main reason is that, differently from other projects, a software project is a people-intensive activity and its related resources are mainly human resources. The tools based on the traditional project management techniques usually regard task scheduling and human resource allocation as two separated activities and leave the job of human resource allocation to be done by project managers manually resulting in inefficient resource allocation and poor management performance. Hence, authors are recommended to implement Genetic Algorithm in project scheduling for effective results.
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Genetic Algorithms (GAs), Project Scheduling, Evolutionary Computing (EC), Genetic Programming