返回
A multiobjective evolutionary algorithm for scheduling and inspection planning in software development projects
DOI:10.1016/j.ejor.2004.07.014.png)
摘要
En 中文
In this paper, we consider the problem of planning inspections and other operations within a software development (SD) project with respect to the objectives quality (no. of defects), project makespan, and costs. The considered model of SD processes comprises the phases coding, inspection, test, and rework and includes the assignment of operations to persons and the generation of a project schedule. Based on this model we discuss a multiobjective optimization problem. For solving the problem (i.e. finding an approximation of the efficient set) we develop a multiobjective evolutionary algorithm. Details of the algorithm are discussed as well as results of its application to sample problems. (C) 2004 Elsevier B.V. All rights reserved.
Keyword:
multiple objective programming
project management and scheduling
software development
evolutionary algorithms
efficient set
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6
论文数:
2.2W
被引数:
6.4W
机构
暂无机构信息
引用论文
A multi-population genetic algorithm to solve multi-objective scheduling problems for parallel machines一种求解并行机多目标调度问题的多种群遗传算法

