Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Swarm intelligence
Evolutionary Design by Computers with CDrom
Evolutionary Design by Computers with CDrom
Foundations of Genetic Programming
Foundations of Genetic Programming
An adaptive memory programming method for risk logistics operations
International Journal of Systems Science
An efficient genetic algorithm with uniform crossover for air traffic control
Computers and Operations Research
Genetic programming heuristics for multiple machine scheduling
EuroGP'07 Proceedings of the 10th European conference on Genetic programming
Optimal arrival flight sequencing and scheduling using discrete airborne delays
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems
A ripple-spreading genetic algorithm for the aircraft sequencing problem
Evolutionary Computation
Dynamic scheduling with genetic programming
EuroGP'06 Proceedings of the 9th European conference on Genetic Programming
Evolving priority scheduling heuristics with genetic programming
Applied Soft Computing
An efficient hybrid meta-heuristic for aircraft landing problem
Computers and Operations Research
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Of primary importance to the efficient operation and profitability of an airline is adherence to its flight schedule. This paper examines that segment of air traffic control, termed traffic management adviser (TMA), which is charged with the complex task of scheduling arriving aircraft to available runways in a manner that minimizes delays and satisfies safety constraints. In particular, we investigate the effectiveness and efficiency of using genetic search methods to support the scheduling decisions made by TMA.Four different genetic search methods are tested on TMA problems suggested by recent work at the NASA Ames Research Center. For problems of realistic size, optimal or near-optimal assignments of aircraft to runways are achieved in real time.