The lunar base is a core strategic pivot for human deep space exploration, and building a large-scale, low-cost Earth-Moon transportation system is the core prerequisite for space colonization. Currently, neither the mainstream conventional rocket transportation mode nor the cutting-edge space elevator solution can meet the dual constraints of cost and construction period, which is a key planning challenge for future lunar base construction. Existing Earth-Moon logistics research has not established a unified quantitative optimization framework for rocket-space elevator hybrid transportation, lacks systematic performance comparison of three mainstream transportation strategies, and cannot realize global multi-objective collaborative optimization of full-cycle transportation cost and construction period. To address this research gap, this paper constructs a unified analysis framework of three mainstream transportation schemes with a dual-objective optimization model for total full-cycle cost and construction period, and adopts NSGA-Ⅱ algorithm and TOPSIS method for optimal solution screening and comprehensive scoring. The results show that the hybrid transportation mode achieves 38% cost reduction compared with the pure rocket scheme under balanced decision-making, and obtains better comprehensive performance than single schemes under different optimization preferences. This study effectively solves the core problem of collaborative optimization of Earth-Moon logistics cost and construction period, and provides quantitative decision support for lunar base transportation strategy formulation and reference for deep space exploration mission planning.

multi-objective optimization, earth-moon space transportation, space elevator, NSGA-II algorithm