Positioning Temporary Facilities using Multi Sub-Population Evolution

H. Tawfik, A. Nagar, and A. Khan (UK)


Engineering Application, Genetic algorithms, parallel evolution, construction site.


This article presents a genetic algorithm application to support the construction site layout-planning task using an evolutionary approach to determine the locations of site facilities. It uses a Multi-Subpopulation Genetic Algorithm (MSGA) to perform site layout optimisation in which the temporary facilities positioned in order to optimally satisfy travelling distance minimisation and safety maximisation criteria. The algorithm allows for the parallel evolution of its subpopulations based on the migration model to improve its genetic search power for (near) optimum construction site facility layouts.

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