Multiobjective evolutionary algorithm with constraint handling for aircraft landing scheduling

Yuanping Guo; Xianbin Cao; Jun Zhang

doi:10.1109/CEC.2008.4631293

Multiobjective evolutionary algorithm with constraint handling for aircraft landing scheduling

Yuanping Guo^*, Xianbin Cao, Jun Zhang

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

16 Citations (Scopus)

Abstract

Aircraft landing scheduling is a multiobjective optimization problem with lots of constraints, which is difficult to be dealt with by traditional multiobjective evolutionary algorithms with general constraint handling strategies such as constraint-dominate definition. In this paper we pertinently designed an effective constraint handling method, and then presented a multiobjective evolutionary algorithm using the constraint handing method to solve the aircraft landing scheduling problem. Experiments show that our method is able to locate the feasible region in the search space, obtain the jagged Pareto front, and thereby provide efficient schedule for aircraft landing.

Original language	English
Title of host publication	2008 IEEE Congress on Evolutionary Computation, CEC 2008
Pages	3657-3662
Number of pages	6
DOIs	https://doi.org/10.1109/CEC.2008.4631293
Publication status	Published - 2008
Externally published	Yes
Event	2008 IEEE Congress on Evolutionary Computation, CEC 2008 - Hong Kong, China Duration: 1 Jun 2008 → 6 Jun 2008

Publication series

Name	2008 IEEE Congress on Evolutionary Computation, CEC 2008

Conference

Conference	2008 IEEE Congress on Evolutionary Computation, CEC 2008
Country/Territory	China
City	Hong Kong
Period	1/06/08 → 6/06/08

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10.1109/CEC.2008.4631293

Cite this

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title = "Multiobjective evolutionary algorithm with constraint handling for aircraft landing scheduling",

abstract = "Aircraft landing scheduling is a multiobjective optimization problem with lots of constraints, which is difficult to be dealt with by traditional multiobjective evolutionary algorithms with general constraint handling strategies such as constraint-dominate definition. In this paper we pertinently designed an effective constraint handling method, and then presented a multiobjective evolutionary algorithm using the constraint handing method to solve the aircraft landing scheduling problem. Experiments show that our method is able to locate the feasible region in the search space, obtain the jagged Pareto front, and thereby provide efficient schedule for aircraft landing.",

author = "Yuanping Guo and Xianbin Cao and Jun Zhang",

year = "2008",

doi = "10.1109/CEC.2008.4631293",

language = "English",

isbn = "9781424418237",

series = "2008 IEEE Congress on Evolutionary Computation, CEC 2008",

pages = "3657--3662",

booktitle = "2008 IEEE Congress on Evolutionary Computation, CEC 2008",

note = "2008 IEEE Congress on Evolutionary Computation, CEC 2008 ; Conference date: 01-06-2008 Through 06-06-2008",

}

Guo, Y, Cao, X & Zhang, J 2008, Multiobjective evolutionary algorithm with constraint handling for aircraft landing scheduling. in 2008 IEEE Congress on Evolutionary Computation, CEC 2008., 4631293, 2008 IEEE Congress on Evolutionary Computation, CEC 2008, pp. 3657-3662, 2008 IEEE Congress on Evolutionary Computation, CEC 2008, Hong Kong, China, 1/06/08. https://doi.org/10.1109/CEC.2008.4631293

Multiobjective evolutionary algorithm with constraint handling for aircraft landing scheduling. / Guo, Yuanping; Cao, Xianbin; Zhang, Jun.
2008 IEEE Congress on Evolutionary Computation, CEC 2008. 2008. p. 3657-3662 4631293 (2008 IEEE Congress on Evolutionary Computation, CEC 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Cao, Xianbin

AU - Zhang, Jun

PY - 2008

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N2 - Aircraft landing scheduling is a multiobjective optimization problem with lots of constraints, which is difficult to be dealt with by traditional multiobjective evolutionary algorithms with general constraint handling strategies such as constraint-dominate definition. In this paper we pertinently designed an effective constraint handling method, and then presented a multiobjective evolutionary algorithm using the constraint handing method to solve the aircraft landing scheduling problem. Experiments show that our method is able to locate the feasible region in the search space, obtain the jagged Pareto front, and thereby provide efficient schedule for aircraft landing.

AB - Aircraft landing scheduling is a multiobjective optimization problem with lots of constraints, which is difficult to be dealt with by traditional multiobjective evolutionary algorithms with general constraint handling strategies such as constraint-dominate definition. In this paper we pertinently designed an effective constraint handling method, and then presented a multiobjective evolutionary algorithm using the constraint handing method to solve the aircraft landing scheduling problem. Experiments show that our method is able to locate the feasible region in the search space, obtain the jagged Pareto front, and thereby provide efficient schedule for aircraft landing.

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Multiobjective evolutionary algorithm with constraint handling for aircraft landing scheduling

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