Real-time construction of aircraft landing schedules using an evolutionary algorithm

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. Categories and Subject Descriptors I.2.8 [Artificial Intelligence]: Problem Solving, Control Methods, and Search--scheduling; I.2.8 [Artificial Intelligence]: Problem Solving, Control Methods, and Search-Plan execution, formation, and generation General Terms Algorithms

• Type: Conference
• Year: 2006
• Where: GECCO
• Authors: Neil Urquhart
• Keywords: Aircraft Landing Problem, Feasible Solution, GECCO 2006, Optimization, Problem Solving