Assigning aircraft to gates is an important decision problem that airport professionals face
every day. The solution of this problem has raised a significant research effort and many …

The goal of Machine Learning to automatically learn from data, extract knowledge and to
make decisions without any human intervention. Such automatic (aML) approaches show …

This paper reviews existing approaches to the airport gate assignment problem (AGAP) and
presents an optimization model for the problem considering operational safety constraints …

Improper assignment of gates may result in flight delays, inefficient use of the resource,
customer's dissatisfaction. A typical metropolitan airport handles hundreds of flights a day …

This article formulates the Collaborative Gate Allocation (CGA) problem as a novel concept
to reduce aircraft gate-waiting time and to increase aircraft gate utilization. The proposed …

Assigning aircrafts to the available gates is an important decision problem that airport
professionals face every day. However, this problem is generally studied by considering …

” Advances in Bio-inspired Combinatorial Optimization Problems” illustrates several recent
bio-inspired efficient algorithms for solving NP-hard problems. Theoretical bio-inspired …

The rapid development of the air transportation industry has increased air traffic, posing
challenges to the task of airport gate assignment (AGA) for flights. Most past studies have …

Regression testing is applied whenever a code changes, ensuring that the modifications
fixed the fault and no other faults are introduced. Due to a large number of test cases to be …

Ant colony system is a metaheuristic algorithm inspired by the behavior of real ants and was
proposed by Dorigo et al. as a method for solving hard combinatorial optimization problems …