Reducing bias and inefficiency in the selection algorithm
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Aircraft and Gate Scheduling Optimization at Airports
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 3 - Volume 3
The over-constrained airport gate assignment problem
Computers and Operations Research
A comparison of selection schemes used in evolutionary algorithms
Evolutionary Computation
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Airport baggage sorting stations are the places at which the baggage for each flight accumulates for loading into containers or directly onto the aircraft. In this paper the multi-objective and multi-constraint problem of assigning Baggage Sorting Stations in an Airport is defined and an Evolutionary Algorithm is presented, which uses a number of different operators to find good solutions to the problem. The contributions of these different operators are studied, giving insights into how the appropriate choice may depend upon the specifics of the problem at the time.