Genetic Algorithms for Construction Time-Cost-Quality Trade-Off: A Road Project Case Study
DOI:
https://doi.org/10.6092/issn.2036-1602/4080Keywords:
Construction Management, Key Performance Indicators (KPIs), Time-Cost-Quality trade-off analysis, road construction, Genetic Algorithms (GAs), Multi-objective OptimizationAbstract
Construction projects must satisfy time cost and quality requirements and Project Management is basically focused on this trade-off. In fact, in every project these three parameters are interdependent: it’s impossible to change an element without conditioning at least one of the other two. The paper presents the development of a practical and automated system that uses an artificial intelligence technique for the planning of an infrastructural construction work, with the aim of optimizing time-cost-quality simultaneously. The model is developed as a multi-objective genetic algorithm to provide the capability of quantifying and considering quality in construction optimization. The purpose is to provide planners a useful technique to explore all possible project configurations.References
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