Optimization Study of Dual-Path Logistics Model for Interstellar Material Transport Integrating Space Elevators and Chemical Rockets

Abstract

Addressing the extreme logistical challenge of transporting 100 million tons of materials across planets for the lunar colony construction mission launching in 2050, this paper establishes a dual-path logistics modeling framework integrating path deconstruction, parameter correction, and multi-objective optimization. The study categorizes transport routes into traditional rocket-based and space elevator-based modes. By introducing a geocorrection factor, it precisely quantifies the impact of different latitude launch sites on rocket payload capacity. Additionally, it derives the lunar soft-landing payload rate for space elevators using the Tsiolkovsky equation. At the optimization decision level, a nonlinear programming model balancing time and cost was established. Utilizing a heuristic algorithm based on a greedy strategy and grid search, the study compared the performance differences among pure rocket, pure elevator, and hybrid transport scenarios. To address real-world random uncertainties, disturbance terms such as equipment failures and maintenance costs were incorporated. The system's robustness was evaluated by constructing a set of near-optimal solutions. Simulation results confirm that the hybrid transport strategy optimally resolves the conflict between rockets' high initial costs and space elevators' limited early-stage capacity, achieving global benefit maximization under specific parameter constraints. This research provides a scientific quantitative basis and decision template for logistics planning in large-scale interstellar colonization.