Application of Grouping Genetic Algorithm to Solve Resource Constrined Multi Project Scheduling via Priorities and Total Budget
Publish place: International Conference on Contemporary Iran in Civil Engineering , Architecture and Urban Development
Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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CICEAUD01_0021
تاریخ نمایه سازی: 29 فروردین 1397
Abstract:
In this paper, a mathematical model is proposed for Resource-constraint multi-project scheduling problem which involves multi-mode activities, priority strategies, and total budget. The problem is formulated as a non-linear mixed integer programming and attempts to minimize total weighted tardiness. Due to the complexity andcombinatorial nature of the model, a grouping genetic algorithm (GGA) is proposed to solve the non-linear model. In order to show the efficiency of this proposed algorithm, simple genetic algorithm (SGA) and GAMS solver are also applied. To evaluate the performance of GGA, a number of experiments is run. Our computational results show that our proposed GGA in almost all cases outperforms SGA and GAMS solver.
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Authors
Mohamad Reza Moghimifar
Master Student, Department of Civil Engineering, Islamic Azad University, Firoozkuh Branch, Tehran, Iran,
Bahman Salami
Assistant Professor, Department of Civil Engineering, Islamic Azad University, Firoozkuh Branch, Tehran, Iran,