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Dynamic Multiobjective Software Project Scheduling Optimization Method Based on Firework Algorithm

机译:基于烟花算法的动态多色软件项目调度优化方法

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摘要

Software project scheduling is essentially a kind of project scheduling problem with limited human resources. During the development process of a software product, reworking the completed projects, reassessing the workload, and changing the number of employees or their skills are the frequently occurring dynamic issues having direct influences on designing a scheduling scheme. Taking the development cost and duration, the robustness, and the stability of the scheduling schemes as the objective functions, software project scheduling is modeled as a dynamic four-objective optimization problem. The various programming habits among the employees form the specific constraints for the reworking tasks, and the skills of the employees vary due to the effects of learning and forgetting. To solve this problem, an improved multiobjective firework algorithm with a novel explosion operator and reservation strategy is incorporated with rescheduling methods to fully guide the evolution by using the historical evolutionary knowledge. The experimental results indicate that the proposed method has better scheduling performance, and the optimal scheduling schemes have better robustness and stability.
机译:软件项目调度本质上是一种具有有限人力资源的项目调度问题。在软件产品的开发过程中,重新编写工作量,重新评估工作量,以及更改员工人数或其技能是对设计调度方案的直接影响的经常发生的动态问题。采用发展成本和持续时间,稳健性和调度方案的稳定性作为目标函数,软件项目调度被建模为动态的四目标优化问题。员工之间的各种编程习惯为重新加工任务形成了特定的限制,员工的技能因学习和遗忘的影响而有所不同。为了解决这个问题,通过新颖的爆炸操作员和预留策略的改进的多目标烟花算法与重新安排方法结合在一起,以通过使用历史进化知识来完全指导演进。实验结果表明,该方法具有更好的调度性能,最佳调度方案具有更好的鲁棒性和稳定性。

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  • 来源
    《Mathematical Problems in Engineering》 |2019年第15期|47.1-47.13|共13页
  • 作者单位

    China Univ Min & Technol Xuzhou 221116 Jiangsu Peoples R China;

    China Univ Min & Technol Xuzhou 221116 Jiangsu Peoples R China;

    China Univ Min & Technol Xuzhou 221116 Jiangsu Peoples R China;

    China Univ Min & Technol Xuzhou 221116 Jiangsu Peoples R China;

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