Applications of Genetic Algorithms for Multi-Objective Resource Allocation of Construction Projects Under Certainty
This research investigates the use of GAs (Genetic Algorithms) as the foundation for multi-objective construction process optimization. Based on GA principles, a set of algorithms is developed specifically for construction process analysis and optimization. This set of algorithms is also integrated with simulation techniques to analyze risks and uncertainties while addressing process optimization. Computerized systems based on these algorithms are able to analyze construction processes efficiently and identify the optimal solutions and the associated probabilities for large-scale construction projects.
University of Illinois - Urbana-Champaign
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University of Illinois at Urbana-Champaign