文章基本信息

标题：Event Based Project Scheduling Using Optimized Ant Colony Algorithm
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作者：Vidya Sagar Ponnam ; Dr.N.Geethanjali
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2014
卷号：18
期号：6
页码：280-288
出版社：Seventh Sense Research Group
摘要：The need for computeraided tools for Task Scheduling and Resource share/allocation in Software Industry is increasing. The traditional method uses both EventBased Scheduler (EBS) and Ant Colony Optimization (ACO) to tackle both the problems in Project Planning. Due to this significance and challengesof project planning, there is a fast growing need for improvingvaluablecomputer years. The existing approaches typically consider human resource allocation and task scheduling as two distinct activities. The existent models also have the prediction that each person can simply be allotted to a single task at only once due to this project are not completed on time and lacks proper planning and scheduling in the project. The problem of task preemption exists in the previous models. The existing system also suffers from the problem of allocating the same task for different group of employees in different periods. ACO solve the problem of project scheduling but it does not consider the employee allocation matrix. The ACO is not a satisfactory model to solve the problem of project scheduling.
关键词：Event Based Project Scheduling Using Optimized Ant Colony Algorithm