Population-based optimization in structural engineering: a review
Structural engineering is focused on the safe and efficient design of infrastructure. Projects
can range in size and complexity, many requiring massive amounts of materials and …
can range in size and complexity, many requiring massive amounts of materials and …
Solving large-scale discrete time–cost trade-off problem using hybrid multi-verse optimizer model
PVH Son, NT Nguyen Dang - Scientific Reports, 2023 - nature.com
The analysis of the relationship between time and cost is a crucial aspect of construction
project management. Various optimization techniques have been developed to solve time …
project management. Various optimization techniques have been developed to solve time …
Resource-constrained time–cost-quality-energy-environment tradeoff problem by considering blockchain technology, risk and robustness: a case study of healthcare …
Blockchain Technology (BCT) is expanding day by day and is used in all pillars of life and
projects. In this research, we survey applicable BCT in project management for the first time …
projects. In this research, we survey applicable BCT in project management for the first time …
Multi-objective time–cost trade-off optimization for the construction scheduling with Rao algorithms
Determining the time and cost of activities is one of the most important stages of construction
project planning. Measures taken to shorten the time, such as the need for more or more …
project planning. Measures taken to shorten the time, such as the need for more or more …
Integrating quality and safety in construction scheduling time-cost trade-off model
Quality and safety are important and are the leading concerns in a construction project.
Planning a project without properly incorporating these two performance parameters …
Planning a project without properly incorporating these two performance parameters …
Optimizing time and cost simultaneously in projects with multi-verse optimizer
PVH Son, NT Nguyen Dang - Asian Journal of Civil Engineering, 2023 - Springer
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 …
In this context, achieving optimal balancing time and cost objectives is crucial. The multi …
A novel oppositional teaching learning strategy based on the golden ratio to solve the Time-Cost-Environmental impact Trade-off optimization problems
The teaching–learning-based optimization (TLBO) algorithm is one of the most noted meta-
heuristic algorithms known for its simplicity, fast convergence, and accuracy. Several TLBO …
heuristic algorithms known for its simplicity, fast convergence, and accuracy. Several TLBO …
Modified dynamic opposite learning assisted TLBO for solving Time-Cost optimization in generalized construction projects
This study proposes an improved version of teaching learning-based optimization (TLBO)
with a modified dynamic-opposition learning (MDOL) strategy, called modified dynamic …
with a modified dynamic-opposition learning (MDOL) strategy, called modified dynamic …
Optimization of environmental impacts of construction projects: a time–cost–quality trade-off approach
The construction industry and the implementation of civil projects are considered to be one
of the causes of environmental pollution. Given the impacts and pollution created by the …
of the causes of environmental pollution. Given the impacts and pollution created by the …
Integrating a novel multiple-objective FBI with BIM to determine tradeoff among resources in project scheduling
Project managers face a challenge when they must trade-off various resource factors such
as time, cost, quality, safety, and the environment. Such challenges increase with the size …
as time, cost, quality, safety, and the environment. Such challenges increase with the size …