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April 1, 2026SustainabilityOpen Access

Sustainable Optimization in Air Transport: Hybrid Particle Swarm and Tabu Search Algorithm for the Multi-Objective Airport Gate Assignment Problem

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Authors

KDKerui DingHLHuihui LanJZJie Zhang

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Overview

Optimizes airport gate assignments in civil aviation, highlighting improved efficiency and sustainability.

Key Points

  • This research aims to develop a model to optimize airport gate assignments while addressing sustainability in airport operations.
  • Developed a mixed-integer linear programming model for airport gate assignment.
  • Applied a multi-objective particle swarm optimization algorithm integrated with a tabu search strategy.
  • Conducted extensive numerical experiments to test the proposed optimization model.
  • Achieved a 26.37% improvement over the original airport gate assignment scheme.
  • Demonstrated a 1.25% improvement compared to the standalone particle swarm optimization algorithm.
  • Confirmed the effectiveness and practicality of the hybrid optimization method.

Cite This Study

Ding et al. (2026) studied this question.

synapsesocial.com/papers/69ccb78416edfba7beb898abhttps://doi.org/10.3390/su18073331
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