Multi-Population Co-Evolutionary Memetic Algorithm for Multi-Objective Airport Ground Services Scheduling Problem

Author

Lv, Hong ; Qin, Yongbin ; Tang, Ruixue ; Luo, Cong

Author_Institution

Dept. of Comput. Sci., Guizhou Univ., Guiyang, China

fYear

2011

fDate

28-29 May 2011

Firstpage

1

Lastpage

4

Abstract

Airport ground services management are about the scheduling of each airport ground services equipment for the purpose of improving traffic control services, strengthening the operation and management, ensuring the normal operation of flights. We define a function of staff number and work time and establish a mathematical model. And the random weight method is introduced to solve this multi-objective optimization problem what we establish. Based on the model, we present multi-population co-evolutionary Memetic algorithm. Simulation results show that the algorithm for the airport ground services problem is more effective.

Keywords

air traffic; air traffic control; airports; evolutionary computation; ground support systems; optimisation; scheduling; transportation; airport ground service management; mathematical model; multiobjective airport ground service scheduling problem; multiobjective optimization problem; multipopulation coevolutionary memetic algorithm; random weight method; staff number; traffic control service; work time; Airports; Algorithm design and analysis; Biological cells; Genetic algorithms; Mathematical model; Memetics; Scheduling;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-9855-0

Electronic_ISBN

978-1-4244-9857-4

Type

conf

DOI

10.1109/ISA.2011.5873292

Filename

5873292