A survey on crossover operators
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 …
responsible for producing offspring for the next generation so as to explore a much wider …
[PDF][PDF] The airport ground movement problem: Past and current research and future directions
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 …
airlines, passengers and other stakeholders. Moreover, it is likely to become even more so …
Toward adaptive knowledge transfer in multifactorial evolutionary computation
A multifactorial evolutionary algorithm (MFEA) is a recently proposed algorithm for
evolutionary multitasking, which optimizes multiple optimization tasks simultaneously. With …
evolutionary multitasking, which optimizes multiple optimization tasks simultaneously. With …
Ant colony optimization for air traffic conflict resolution
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 …
using classical mathematical optimisation techniques only for small problems involving less …
Variations on memetic algorithms for graph coloring problems
L Moalic, A Gondran - Journal of Heuristics, 2018 - Springer
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 …
complete problem. The most effective methods to solve this problem are proved to be hybrid …
Cooperative co-evolution for feature selection in Big Data with random feature grouping
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) …
throughput data generation results in Big Data, which consist of many features (attributes) …
Aircraft ground traffic optimization
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 …
ground delays on major airports. Accurate models of airport traffic prediction can provide …
Airport surface management and runways scheduling
R Deau, JB Gotteland, N Durand - ATM 2009, 8th USA/Europe Air …, 2009 - enac.hal.science
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 …
scheduling (AMAN-DMAN) systems and the surface management (SMAN) system, in order …
Genetic algorithms applied to airport ground traffic optimization
JB Gotteland, N Durand - The 2003 Congress on Evolutionary …, 2003 - ieeexplore.ieee.org
Due to air traffic growth and especially hubs development, major European airports can
easily become bottlenecks in the global air transportation network. Therefore, accurate …
easily become bottlenecks in the global air transportation network. Therefore, accurate …
A combined nelder-mead simplex and genetic algorithm
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 …
genetic algorithm are very often used for large sized global optimization problems, but are …