Inflationary differential evolution for Constrained Multi-Objective Optimisation Problem

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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 languageEnglish
Title of host publicationBioinspired Optimization Methods and Their Applications
Subtitle of host publication9th International Conference, BIOMA 2020, Brussels, Belgium, November 19–20, 2020, Proceedings
EditorsBogdan Filipič, Edmondo Minisci, Massimiliano Vasile
Place of PublicationCham, Switzerland
PublisherSpringer
Pages29-42
Number of pages14
ISBN (Electronic)9783030637101
ISBN (Print)9783030637095
DOIs
Publication statusPublished - 16 Nov 2020
EventBioinspired Optimization Methods and their Applications 2020 - Université Libre de Bruxelles (Virtual), Bruxelles, Belgium
Duration: 19 Nov 202020 Nov 2020
http://utopiae.eu/bioma-2020/

Conference

ConferenceBioinspired Optimization Methods and their Applications 2020
Abbreviated titleBIOMA 2020
CountryBelgium
CityBruxelles
Period19/11/2020/11/20
Internet address

Keywords

  • constrained multi-objective optimisation
  • memetic algorithm
  • scalarisation

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