Inflationary differential evolution for Constrained Multi-Objective Optimisation Problem

Gianluca Filippi; Massimiliano Vasile

doi:10.1007/978-3-030-63710-1_3

Inflationary differential evolution for Constrained Multi-Objective Optimisation Problem

Gianluca Filippi, Massimiliano Vasile

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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Abstract

In this paper we review several parameter-based scalarisation approaches used within Multi-Objective Optimisation. We propose then a proof-of-concept for a new memetic algorithm designed to solve the Constrained Multi-Objective Optimisation Problem. The algorithm is finally tested on a benchmark with a series of difficulties.

Original language	English
Title of host publication	Bioinspired Optimization Methods and Their Applications
Subtitle of host publication	9th International Conference, BIOMA 2020, Brussels, Belgium, November 19–20, 2020, Proceedings
Editors	Bogdan Filipič, Edmondo Minisci, Massimiliano Vasile
Place of Publication	Cham, Switzerland
Publisher	Springer
Pages	29-42
Number of pages	14
ISBN (Electronic)	9783030637101
ISBN (Print)	9783030637095
DOIs	https://doi.org/10.1007/978-3-030-63710-1_3
Publication status	Published - 16 Nov 2020
Event	Bioinspired Optimization Methods and their Applications 2020 - Université Libre de Bruxelles (Virtual), Bruxelles, Belgium Duration: 19 Nov 2020 → 20 Nov 2020 http://utopiae.eu/bioma-2020/

Conference

Conference	Bioinspired Optimization Methods and their Applications 2020
Abbreviated title	BIOMA 2020
Country/Territory	Belgium
City	Bruxelles
Period	19/11/20 → 20/11/20
Internet address	http://utopiae.eu/bioma-2020/

Keywords

constrained multi-objective optimisation
memetic algorithm
scalarisation

Access to Document

10.1007/978-3-030-63710-1_3

Filippi-etal-BIOMA2020-Inflationary-differential-evolution-Constrained-Multi-Objective-Optimisation-ProblemsAccepted author manuscript, 443 KB

Uncertainty Treatment and OPtimisation in Aerospace Engineering (UTOPIAE) (H2020 MCSA ETN)
Vasile, M. (Principal Investigator), Akartunali, K. (Co-investigator), Maddock, C. (Co-investigator), Minisci, E. (Co-investigator) & Revie, M. (Co-investigator)
European Commission - Horizon Europe + H2020
1/01/17 → 31/12/20
Project: Research

Cite this

Filippi, G., & Vasile, M. (2020). Inflationary differential evolution for Constrained Multi-Objective Optimisation Problem. In B. Filipič, E. Minisci, & M. Vasile (Eds.), Bioinspired Optimization Methods and Their Applications: 9th International Conference, BIOMA 2020, Brussels, Belgium, November 19–20, 2020, Proceedings (pp. 29-42). Springer. https://doi.org/10.1007/978-3-030-63710-1_3

Filippi, Gianluca ; Vasile, Massimiliano. / Inflationary differential evolution for Constrained Multi-Objective Optimisation Problem. Bioinspired Optimization Methods and Their Applications: 9th International Conference, BIOMA 2020, Brussels, Belgium, November 19–20, 2020, Proceedings. editor / Bogdan Filipič ; Edmondo Minisci ; Massimiliano Vasile. Cham, Switzerland : Springer, 2020. pp. 29-42

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abstract = "In this paper we review several parameter-based scalarisation approaches used within Multi-Objective Optimisation. We propose then a proof-of-concept for a new memetic algorithm designed to solve the Constrained Multi-Objective Optimisation Problem. The algorithm is finally tested on a benchmark with a series of difficulties.",

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Filippi, G & Vasile, M 2020, Inflationary differential evolution for Constrained Multi-Objective Optimisation Problem. in B Filipič, E Minisci & M Vasile (eds), Bioinspired Optimization Methods and Their Applications: 9th International Conference, BIOMA 2020, Brussels, Belgium, November 19–20, 2020, Proceedings. Springer, Cham, Switzerland, pp. 29-42, Bioinspired Optimization Methods and their Applications 2020, Bruxelles, Belgium, 19/11/20. https://doi.org/10.1007/978-3-030-63710-1_3

Inflationary differential evolution for Constrained Multi-Objective Optimisation Problem. / Filippi, Gianluca ; Vasile, Massimiliano.
Bioinspired Optimization Methods and Their Applications: 9th International Conference, BIOMA 2020, Brussels, Belgium, November 19–20, 2020, Proceedings. ed. / Bogdan Filipič; Edmondo Minisci; Massimiliano Vasile. Cham, Switzerland: Springer, 2020. p. 29-42.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Inflationary differential evolution for Constrained Multi-Objective Optimisation Problem

AU - Filippi, Gianluca

AU - Vasile, Massimiliano

PY - 2020/11/16

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KW - memetic algorithm

KW - scalarisation

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Filippi G , Vasile M. Inflationary differential evolution for Constrained Multi-Objective Optimisation Problem. In Filipič B, Minisci E, Vasile M, editors, Bioinspired Optimization Methods and Their Applications: 9th International Conference, BIOMA 2020, Brussels, Belgium, November 19–20, 2020, Proceedings. Cham, Switzerland: Springer. 2020. p. 29-42 doi: 10.1007/978-3-030-63710-1_3

Inflationary differential evolution for Constrained Multi-Objective Optimisation Problem

Abstract

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Projects

Uncertainty Treatment and OPtimisation in Aerospace Engineering (UTOPIAE) (H2020 MCSA ETN)

Cite this