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Inflationary Differential Evolution for Constrained Multi-objective Optimisation Problems

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book 01 Jan 2020 English Publisher:Springer International PublishingFunded by:EC | UTOPIAE
Authors: Gianluca Filippi; Massimiliano Vasile;

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

Inflationary Differential Evolution for Constrained Multi-objective Optimisation Problems

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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Keywords

QA75, Electronic computers. Computer science, 620, 004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
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Average
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