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.
Probably not directly very useful, but refers to Continuous Chromosome Representation, which I have been unable to find elsewhere.