Enhancing ABC Optimization with Ai-Net Algorithm for solving project scheduling problem

R. Xiao, Tinggui Chen
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引用次数: 11

Abstract

Project management is a complex decision making process involving the unrelenting pressures of time and cost. Firstly, the paper points out that multi-mode resource constrained multi-project scheduling problem(MRCMPSP) is one of typical multimodal optimization problems through analyzing its characteristics. The algorithm used to solving this problem should have powerful global and local searching abilities. Secondly, problem description conceptual model is presented. Then, enhancing artificial bee colony (ABC) optimization with artificial immune network algorithm (ai-Net) used to solve MRCMPSP is proposed. Finally, a numerical experiment derived from the project generator ProGen is given to test its performances. The results show the improved ABC proposed in this paper is superior to other algorithms.
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用Ai-Net算法改进ABC优化求解项目调度问题
项目管理是一个复杂的决策过程,涉及时间和成本的持续压力。本文首先通过分析多模式资源约束多项目调度问题的特点,指出多模式资源约束多项目调度问题是典型的多模式优化问题之一。用于解决该问题的算法应具有强大的全局和局部搜索能力。其次,提出了问题描述的概念模型。然后,提出了利用人工免疫网络算法(ai-Net)增强人工蜂群(ABC)优化,求解MRCMPSP问题。最后,利用工程生成器ProGen进行了数值实验,对其性能进行了测试。结果表明,本文提出的改进ABC算法优于其他算法。
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