Multi-Objective Bus Fleet Allocation & Timetable Optimization Under Demand Uncertainty: MILP, Goal Programming & Exact AUGMECON Pareto Frontier (CTU Chandigarh Case Study)
milp multi-objective-optimization operations-research transportation-planning goal-programming public-transit augmecon mixed-integer-linear-programming highs-solver pareto-optimal fleet-allocation fuzzy-optimization
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Updated
Oct 21, 2026 - Python