Paper
20 February 2024 TOPSIS based on parallel simulated annealing algorithm for multi-objective aircraft landing problem
Qunting Yang, Zhijian Ye, Qian Yang
Author Affiliations +
Proceedings Volume 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023); 1306433 (2024) https://doi.org/10.1117/12.3015910
Event: 7th International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 2023, Dalian, China
Abstract
The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) based on results of Parallel Simulated Annealing Algorithm (PSA) is extended to explore satisfactory solutions with relatively low costs for trading off benefit of multi-stockholder while aircraft landing. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) based on results of Parallel Simulated Annealing Algorithm (PSA) is extended to explore satisfactory solutions with relatively low costs for trading off benefit of multi-stockholder while aircraft landing. PSA is developed to get a more ideal solution than the regular Simulated Annealing (SA). The numerical simulation shows that our approach is effective and efficient.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Qunting Yang, Zhijian Ye, and Qian Yang "TOPSIS based on parallel simulated annealing algorithm for multi-objective aircraft landing problem", Proc. SPIE 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 1306433 (20 February 2024); https://doi.org/10.1117/12.3015910
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KEYWORDS
Algorithms

Mathematical optimization

Transportation

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