Emissions Assessment and Intelligent Scheduling for Construction Machinery in Highway Engineering Based on Improved Niche Genetic Algorithm

Highway engineering, an indispensable part in social life, consumes large amounts of fossil fuel and produces environmental pollution during the construction process. In order to achieve more sustainable construction processes in highway engineering and reduce pollution emissions, it is necessary to evaluate and improve the performance of construction machinery. In this study, the multi-objective optimization model is established to quantify the emissions and fuel consumption of various construction machinery within an highway engineering in China. Then, a series of suitable construction equipments can be selected in multiple terrains. Moreover, the improved niche genetic algorithm with the penalty function is proposed to obtain the optimal solution using the parameters of each equipment. The experimental results showed that the improved niche genetic algorithm with the penalty function can achieve the optimal scheduling, and reduce the overall iteration times in comparison with the genetic algorithms.