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Optimizing time and cost simultaneously in projects with multi-verse optimizer
Balancing time and cost has long been a primary focus of construction project management. In this context, achieving optimal balancing time and cost objectives is crucial. The multi-verse optimizer (MVO) has emerged as a promising stochastic optimization algorithm in this field, as it efficiently explores and exploits the search space. This study proposes the MVO model as a new tool to address time–cost optimization problems (TCOPs). To evaluate MVO's performance, three benchmark test problems were used, each comprising 18 activities. The findings suggest that MVO outperforms other stochastic optimization techniques in terms of effectiveness when applied to small-scale TCOPs.
Optimizing time and cost simultaneously in projects with multi-verse optimizer
Balancing time and cost has long been a primary focus of construction project management. In this context, achieving optimal balancing time and cost objectives is crucial. The multi-verse optimizer (MVO) has emerged as a promising stochastic optimization algorithm in this field, as it efficiently explores and exploits the search space. This study proposes the MVO model as a new tool to address time–cost optimization problems (TCOPs). To evaluate MVO's performance, three benchmark test problems were used, each comprising 18 activities. The findings suggest that MVO outperforms other stochastic optimization techniques in terms of effectiveness when applied to small-scale TCOPs.
Optimizing time and cost simultaneously in projects with multi-verse optimizer
Asian J Civ Eng
Son, Pham Vu Hong (author) / Nguyen Dang, Nghiep Trinh (author)
Asian Journal of Civil Engineering ; 24 ; 2443-2449
2023-11-01
7 pages
Article (Journal)
Electronic Resource
English
Alokasi Optimal DG Sumber Energi Terbarukan Menggunakan Algoritme Multi-Verse Optimizer
| DOAJ | 2021