Journals / Çukurova Üniversitesi Mühendislik-Mimarlik Fakültesi Dergisi / 2003 / Cilt: 18 - Sayı: 2

Resource leveling in construction projects by using genetic algorithms

Yapım projelerinde genetik algoritma kullanarak kaynak seviyeleme

Pages
185–194
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Normalizing Scaling has been determined to be providing the fastest results.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Within the context of this study, a computer software that is based on genetic algorithm logic has been developed and validated for solving resource leveling problems in construction projects.
📊
Key Findings & Data:In adition to the literature findings, three diffreent types of scaling has been included within the software.
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Conclusion & Impact:Normalizing Scaling has been determined to be providing the fastest results.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Within the context of this study, a computer software that is based on genetic algorithm logic has been developed and validated for solving resource leveling problems in construction projects. In adition to the literature findings, three diffreent types of scaling has been included within the software. Normalizing Scaling has been determined to be providing the fastest results.

Özet

Bu çalışma kapsamında, yapım, projelerinde kaynak seviyeleme problemlerinin çözümü için genetik algoritma mantığına dayanarak çözüm geliştiren bir bilgisayar yazılımı geliştirilmiş ve validasyonu yapılmıştır. Bu yazılımda, literatürde tartışılan programlara ek olarak üç tip çeşitlendirme yöntemi denenmiş, normalleştirmenin en hızlı sonuçları verdiği gözlenmiştir.

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Cite This Article

ORAL, M., ORAL, L. E., BOZKURT, S., ERDİŞ, E. (2003). Resource leveling in construction projects by using genetic algorithms. Çukurova Üniversitesi Mühendislik-Mimarlik Fakültesi Dergisi, Cilt: 18 - Sayı: 2, 185–194. https://ajindex.com/articles/350441

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References (1)

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