Now showing items 1-6 of 6
A multi-objective genetic algorithm model for time-cost trade-off analysis of construction projects
( Civil-Comp Press , 2006 , Conference Paper)
Time-cost trade-off analysis is one of the most important aspects of construction project planning and control. There are trade-offs between time and cost to complete the activities of a project. Existing methods for ...
Planning post-disaster reconstruction efforts of damaged transportation networks
( American Society of Civil Engineers (ASCE) , 2009 , Conference Paper)
Planning, Reconstruction Efforts, Transportation, Network Analysis. Planning the reconstruction efforts of damaged transportation networks in the aftermath of natural disasters is a challenging task due to the limited ...
Optimizing postdisaster reconstruction planning for damaged transportation networks
( American Society of Civil Engineers (ASCE) , 2009 , Article)
The limited availability of reconstruction resources is one of the main challenges that often confront postdisaster recovery of damaged transportation networks. This requires an effective and efficient deployment and ...
Cost optimization of composite beams using genetic algorithms
( Elsevier Ltd , 2009 , Article)
This paper presents a genetic algorithm model for the cost optimization of composite beams based on the load and resistance factor design (LRFD) specifications of the AISC. The model formulation includes the cost of concrete, ...
Modeling and optimization of biogas production from a waste digester using artificial neural network and genetic algorithm
( Elsevier B.V. , 2009 , Article)
Artificial neural networks (ANNs) and genetic algorithms (GA) are considered among the latest tools that are used to solve complicated problems that cannot be solved by conventional solutions. The present study utilizes ...
Genetic algorithm-based multi-objective model for scheduling of linear construction projects
( Elsevier Ltd , 2007 , Article)
This paper presents a genetic algorithm-based multi-objective optimization model for the scheduling of linear construction projects. The model allows construction planners to generate and evaluate optimal/near-optimal ...