What is it about?

Optimization of Multi-Objective Airport Gate Assignment Problem

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Why is it important?

Air traffic volume will double by 2030. More trips will be made by people and will create more complexity in airport operations. Failure to optimize resources and increase airport capacity is a recipe for failure. Providing effective resource allocation (i.e. gate allocation) will improve the overall airports' revenue and passengers’ satisfaction.


This article considers GAP as a multi-objective problem and proposed a metaheuristic algorithm to come up with the best possible solution (gate allocations) in a reasonable amount of time.

Seyedmirsajad Mokhtarimousavi
Florida International University

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This page is a summary of: A Non-Dominated Sorting Genetic Algorithm Approach for Optimization of Multi-Objective Airport Gate Assignment Problem, Transportation Research Record Journal of the Transportation Research Board, June 2018, SAGE Publications,
DOI: 10.1177/0361198118781386.
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