Inflationary differential evolution for Constrained Multi-Objective Optimisation Problem

Filippi, Gianluca and Vasile, Massimiliano; Filipič, Bogdan and Minisci, Edmondo and Vasile, Massimiliano, eds. (2020) Inflationary differential evolution for Constrained Multi-Objective Optimisation Problem. In: Bioinspired Optimization Methods and Their Applications. Springer, BEL, pp. 29-42. ISBN 9783030637101 (https://doi.org/10.1007/978-3-030-63710-1_3)

[thumbnail of Filippi-etal-BIOMA2020-Inflationary-differential-evolution-Constrained-Multi-Objective-Optimisation-Problems]
Preview
Text. Filename: Filippi_etal_BIOMA2020_Inflationary_differential_evolution_Constrained_Multi_Objective_Optimisation_Problems.pdf
Accepted Author Manuscript

Download (453kB)| Preview

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.

ORCID iDs

Filippi, Gianluca and Vasile, Massimiliano ORCID logoORCID: https://orcid.org/0000-0001-8302-6465; Filipič, Bogdan, Minisci, Edmondo and Vasile, Massimiliano