Accelerating solving the dynamic multi-objective nework design problem using response surface methods

Luc Johannes Josephus Wismans; Eric C. van Berkum; Michiel C.J. Bliemer

Accelerating solving the dynamic multi-objective nework design problem using response surface methods

Luc Johannes Josephus Wismans, Eric C. van Berkum, Michiel C.J. Bliemer

Faculty of Engineering Technology

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

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Abstract

Multi objective optimization of externalities of traffic solving a network design problem in which Dynamic Traffic Management measures are used, is time consuming while heuristics are needed and solving the lower level requires solving the dynamic user equilibrium problem. Use of response surface methods in combination with evolutionary algorithms could accelerate the determination of the Pareto optimal set. Three of these methods are compared with employing the SPEA2+ evolutionary algorithm without use of these methods. The results show that the RSM methods accelerate the search considerably at the start, but tend to converge faster and therefore loose their head start.

Original language	English
Title of host publication	Proceedings 2nd International Conference on Models and Technologies for Intelligent Transportation Systems, June 22-24, 2011, Leuven
Editors	F. Viti, B. Immers, C. Tampere
Place of Publication	Leuven, Belgium
Publisher	ITS
Pages	1-4
Number of pages	4
Publication status	Published - 22 Jun 2011
Event	2nd International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2011 - Katholieke Universiteit Leuven, Leuven, Belgium Duration: 22 Jun 2011 → 24 Jun 2011 Conference number: 2

Conference

Conference	2nd International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2011
Abbreviated title	MT-ITS
Country/Territory	Belgium
City	Leuven
Period	22/06/11 → 24/06/11

Keywords

IR-101420
METIS-272941

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2011_Wismans_Berkum_Accelerating_Solving_the_Dynamic_Multi-Objective_Network_Leuven

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Wismans, Luc Johannes Josephus ; van Berkum, Eric C. ; Bliemer, Michiel C.J. / Accelerating solving the dynamic multi-objective nework design problem using response surface methods. Proceedings 2nd International Conference on Models and Technologies for Intelligent Transportation Systems, June 22-24, 2011, Leuven. editor / F. Viti ; B. Immers ; C. Tampere. Leuven, Belgium : ITS, 2011. pp. 1-4

@inproceedings{fbf3fbe249364a41ac9d9018f0dc6d6a,

title = "Accelerating solving the dynamic multi-objective nework design problem using response surface methods",

abstract = "Multi objective optimization of externalities of traffic solving a network design problem in which Dynamic Traffic Management measures are used, is time consuming while heuristics are needed and solving the lower level requires solving the dynamic user equilibrium problem. Use of response surface methods in combination with evolutionary algorithms could accelerate the determination of the Pareto optimal set. Three of these methods are compared with employing the SPEA2+ evolutionary algorithm without use of these methods. The results show that the RSM methods accelerate the search considerably at the start, but tend to converge faster and therefore loose their head start.",

keywords = "IR-101420, METIS-272941",

author = "Wismans, {Luc Johannes Josephus} and {van Berkum}, {Eric C.} and Bliemer, {Michiel C.J.}",

year = "2011",

month = jun,

day = "22",

language = "English",

pages = "1--4",

editor = "F. Viti and B. Immers and C. Tampere",

booktitle = "Proceedings 2nd International Conference on Models and Technologies for Intelligent Transportation Systems, June 22-24, 2011, Leuven",

publisher = "ITS",

note = "2nd International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2011, MT-ITS ; Conference date: 22-06-2011 Through 24-06-2011",

}

Wismans, LJJ , van Berkum, EC & Bliemer, MCJ 2011, Accelerating solving the dynamic multi-objective nework design problem using response surface methods. in F Viti, B Immers & C Tampere (eds), Proceedings 2nd International Conference on Models and Technologies for Intelligent Transportation Systems, June 22-24, 2011, Leuven. ITS, Leuven, Belgium, pp. 1-4, 2nd International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2011, Leuven, Belgium, 22/06/11.

Accelerating solving the dynamic multi-objective nework design problem using response surface methods. / Wismans, Luc Johannes Josephus ; van Berkum, Eric C.; Bliemer, Michiel C.J.
Proceedings 2nd International Conference on Models and Technologies for Intelligent Transportation Systems, June 22-24, 2011, Leuven. ed. / F. Viti; B. Immers; C. Tampere. Leuven, Belgium: ITS, 2011. p. 1-4.

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

TY - GEN

T1 - Accelerating solving the dynamic multi-objective nework design problem using response surface methods

AU - Wismans, Luc Johannes Josephus

AU - van Berkum, Eric C.

AU - Bliemer, Michiel C.J.

N1 - Conference code: 2

PY - 2011/6/22

Y1 - 2011/6/22

N2 - Multi objective optimization of externalities of traffic solving a network design problem in which Dynamic Traffic Management measures are used, is time consuming while heuristics are needed and solving the lower level requires solving the dynamic user equilibrium problem. Use of response surface methods in combination with evolutionary algorithms could accelerate the determination of the Pareto optimal set. Three of these methods are compared with employing the SPEA2+ evolutionary algorithm without use of these methods. The results show that the RSM methods accelerate the search considerably at the start, but tend to converge faster and therefore loose their head start.

AB - Multi objective optimization of externalities of traffic solving a network design problem in which Dynamic Traffic Management measures are used, is time consuming while heuristics are needed and solving the lower level requires solving the dynamic user equilibrium problem. Use of response surface methods in combination with evolutionary algorithms could accelerate the determination of the Pareto optimal set. Three of these methods are compared with employing the SPEA2+ evolutionary algorithm without use of these methods. The results show that the RSM methods accelerate the search considerably at the start, but tend to converge faster and therefore loose their head start.

KW - IR-101420

KW - METIS-272941

M3 - Conference contribution

SP - 1

EP - 4

BT - Proceedings 2nd International Conference on Models and Technologies for Intelligent Transportation Systems, June 22-24, 2011, Leuven

A2 - Viti, F.

A2 - Immers, B.

A2 - Tampere, C.

PB - ITS

CY - Leuven, Belgium

T2 - 2nd International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2011

Y2 - 22 June 2011 through 24 June 2011

ER -

Accelerating solving the dynamic multi-objective nework design problem using response surface methods

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