Crossover is an important operation in the Genetic Algorithms (GA). Crossover operation is
responsible for producing offspring for the next generation so as to explore a much wider …

Determining efficient airport operations is an important and critical problem for airports,
airlines, passengers and other stakeholders. Moreover, it is likely to become even more so …

A multifactorial evolutionary algorithm (MFEA) is a recently proposed algorithm for
evolutionary multitasking, which optimizes multiple optimization tasks simultaneously. With …

The n aircraft conflict resolution problem is highly combinatorial and can be optimally solved
using classical mathematical optimisation techniques only for small problems involving less …

Graph vertex coloring with a given number of colors is a well-known and much-studied NP-
complete problem. The most effective methods to solve this problem are proved to be hybrid …

A massive amount of data is generated with the evolution of modern technologies. This high-
throughput data generation results in Big Data, which consist of many features (attributes) …

Air traffic growth and especially hubs development cause new significant congestion and
ground delays on major airports. Accurate models of airport traffic prediction can provide …

This article focuses on the interactions that have to be developed between the runways
scheduling (AMAN-DMAN) systems and the surface management (SMAN) system, in order …

Due to air traffic growth and especially hubs development, major European airports can
easily become bottlenecks in the global air transportation network. Therefore, accurate …

It is usually said that genetic algorithm should be used when nothing else works. In practice,
genetic algorithm are very often used for large sized global optimization problems, but are …