Development of time-cost trade-off optimization model for Indian highway construction projects using non-dominated sorting genetic algorithm-II methodology

This paper introduces a time-cost trade-off optimization model developed for Indian highway construction projects, leveraging the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) methodology to minimize both project duration and cost simultaneously. The model incorporates critical constraints such as precedence relationships and resource availability, ensuring practical applicability in complex construction environments. Through a detailed case study, the study demonstrates the model’s efficacy in aiding decision-making and analyzing trade-offs inherent in highway projects. By offering insights into scheduling decisions, stakeholders can enhance project efficiency and cost-effectiveness, addressing the intricate challenges of infrastructure development in India. The NSGA-II algorithm excels by efficiently identifying Pareto optimal solutions that balance project duration and cost effectively, surpassing traditional trade-off models. This systematic approach supports India’s economic growth objectives by optimizing infrastructure development processes. Moreover, the weighted sum technique is employed to select one solution from obtained Pareto-optimal solution. Also, the study underscores the algorithm’s robust performance in managing complex construction projects, contributing to improved project management practices within the Indian context.