In this paper we propose a discrete algebraic-based Differential Evolution for the Linear Ordering Problem (LOP). The search space of LOP is composed by permutations of objects, thus it is possible to use some group theoretical concepts and methods. Indeed, the proposed algorithm is a fully discrete Differential Evolution scheme and has been designed by exploiting the group structure of LOP solutions in order to mimic the classical Differential Evolution behavior observed in continuous numerical spaces. The performances have been evaluated over widely known LOP benchmark suites and have been compared to the state-of-the-art results.

An algebraic differential evolution for the linear ordering problem

MILANI, Alfredo
2015-01-01

Abstract

In this paper we propose a discrete algebraic-based Differential Evolution for the Linear Ordering Problem (LOP). The search space of LOP is composed by permutations of objects, thus it is possible to use some group theoretical concepts and methods. Indeed, the proposed algorithm is a fully discrete Differential Evolution scheme and has been designed by exploiting the group structure of LOP solutions in order to mimic the classical Differential Evolution behavior observed in continuous numerical spaces. The performances have been evaluated over widely known LOP benchmark suites and have been compared to the state-of-the-art results.
2015
Inglese
Inglese
GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference
17th Genetic and Evolutionary Computation Conference, GECCO 2015
1479
1480
2
9781450334884
Association for Computing Machinery, Inc
Esperti anonimi
2015
Madrid; Spain
Internazionale
3
none
Santucci, Valentino; Baioletti, Marco; Milani, Alfredo
273
info:eu-repo/semantics/conferenceObject
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14085/42908
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