MastersWork.RefTamLeung2002 History
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!Genetic Algorithm Modeling Aided with 3D Visualization in Optimizing Construction Site Facility Layout
!!Assoc. Prof. C M Tam and Arthur W T Leung
!!!Abstract:
Site layout planning is a complicated issue due to the existence of the vast number
of trades and inter-related planning constraints. Researchers have tried to use
artificial intelligence (AI) to solve this kind of complex problems, which, however,
needs a certain degree of problem simplification in order to suit the models. The
simplified models cannot always present a full picture of the problem to the
decision makers. To overcome this, 3-dimensional (3D) visualization technology is
proposed that gives a virtual construction site layout based on solutions generated
from the AI models. In the paper, a genetic algorithm (GA) optimization model for
the tower crane and supply locations is generated, which is then supplemented with
3D visualization to build up a virtual construction site layout from the solutions
generated from the GA model. An illustrative example is used to demonstrate the
way that the use of 3D visualization in supplementing GA models in optimizing
tower crane layout problems.
!!!Notes:
Probably not directly very useful, but refers to [[ContinuousChromosomeRep Continuous Chromosome Representation]], which I have been unable to find elsewhere.
!!Assoc. Prof. C M Tam and Arthur W T Leung
!!!Abstract:
Site layout planning is a complicated issue due to the existence of the vast number
of trades and inter-related planning constraints. Researchers have tried to use
artificial intelligence (AI) to solve this kind of complex problems, which, however,
needs a certain degree of problem simplification in order to suit the models. The
simplified models cannot always present a full picture of the problem to the
decision makers. To overcome this, 3-dimensional (3D) visualization technology is
proposed that gives a virtual construction site layout based on solutions generated
from the AI models. In the paper, a genetic algorithm (GA) optimization model for
the tower crane and supply locations is generated, which is then supplemented with
3D visualization to build up a virtual construction site layout from the solutions
generated from the GA model. An illustrative example is used to demonstrate the
way that the use of 3D visualization in supplementing GA models in optimizing
tower crane layout problems.
!!!Notes:
Probably not directly very useful, but refers to [[ContinuousChromosomeRep Continuous Chromosome Representation]], which I have been unable to find elsewhere.
Page last modified on January 12, 2005, at 02:50 AM