Abstract | ||
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This poster investigates the use of Evolutionary Algorithms (EAs) to optimise solutions to the Dynamic Aircraft Landing Problem (DALP). The approach adopted here uses an EA to evolve improvements to the solution so as to move towards an optimum solution. By using the EA to evolve gradual improvements to an existing feasible solution, a feasible solution is always maintained, an important consideration in a safety critical area such as air traffic control. |
Year | DOI | Venue |
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2006 | 10.1145/1143997.1144309 | GECCO |
Keywords | Field | DocType |
important consideration,gradual improvement,real-time construction,air traffic control,aircraft landing schedule,dynamic aircraft landing problem,existing feasible solution,optimum solution,evolutionary algorithm,safety critical area,feasible solution,evolutionary algorithms,intelligent agents,real time,text analysis | Intelligent agent,Mathematical optimization,Parallel genetic algorithm,Evolutionary algorithm,Air traffic control,Aircraft landing,Computer science,Schedule,Artificial intelligence,Critical area,Machine learning | Conference |
ISBN | Citations | PageRank |
1-59593-186-4 | 0 | 0.34 |
References | Authors | |
2 | 1 |
Name | Order | Citations | PageRank |
---|---|---|---|
neil b urquhart | 1 | 83 | 14.70 |