首页|基于改进遗传算法的多模式项目鲁棒调度研究

基于改进遗传算法的多模式项目鲁棒调度研究

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针对于不确定环境下的资源受限多模式的项目调度,引入了三角模糊数表示工期,同时考虑解的鲁棒性和质量的鲁棒性,建立了以鲁棒性最大化为优化目标的数学模型,并设计了遗传算法来对模型进行求解.最后经过实验分析,并与其他算法相比较得出,该算法明显优于现有的经典优化算法.
Robust scheduling of multi-mode projects based on improved genetic algorithm
For resource-constrained multi-mode project scheduling under uncertain environment,a triangular fuzzy number is introduced to represent the construction period,and the robustness of solution and quality are considered.A mathematical model with the maximum robustness as the optimization objective is established,and a genetic algorithm is designed to solve the model.Finally,through experimental analysis and comparison with other algorithms,the proposed algorithm is obviously superior to the ex-isting classical optimization algorithms.

project schedulingimproved genetic algorithmrobustnessmulti-mode

戴琛

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安徽工业大学管理科学与工程学院,马鞍山 243032

项目调度 改进遗传算法 鲁棒性 多模式

2024

现代计算机
中大控股

现代计算机

影响因子:0.292
ISSN:1007-1423
年,卷(期):2024.30(16)