公路施工机械调度优化模型与算法研究

Key Points

• The research aims to address inefficiencies in road construction machinery scheduling, focusing on cost minimization and resource allocation.
• Constructed a multi-objective mixed-integer programming model targeting minimized total costs.
• Developed a hybrid optimization algorithm combining genetic algorithm (GA) and local search strategy (HGA-LS).
• Tested the model and algorithm against traditional scheduling rules through simulation experiments.
• The HGA-LS algorithm demonstrated significantly improved solution quality and computational efficiency.
• Effective enhancement of scientific and economic aspects of road construction machinery scheduling was achieved.
• The proposed approach supports smart sites and digital construction management.