Combinatorial optimization with differential evolution: A set-based approach

André L. Maravilha; Jaime A. Ramírez; Felipe Campelo

doi:10.1145/2598394.2598463

Combinatorial optimization with differential evolution: A set-based approach

André L. Maravilha, Jaime A. Ramírez, Felipe Campelo

College of Engineering and Physical Sciences

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

This work presents a differential evolution algorithm for combinatorial optimization, in which a set-based representation and operators define subproblems that are used to explore the search space. The proposed method is tested on the capacitated centered clustering problem.

Original language	English
Title of host publication	Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion - GECCO Comp '14
Publisher	ACM
Pages	69-70
Number of pages	2
ISBN (Print)	9781450328814
DOIs	https://doi.org/10.1145/2598394.2598463
Publication status	Published - 12 Jul 2014

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10.1145/2598394.2598463

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title = "Combinatorial optimization with differential evolution: A set-based approach",

abstract = "This work presents a differential evolution algorithm for combinatorial optimization, in which a set-based representation and operators define subproblems that are used to explore the search space. The proposed method is tested on the capacitated centered clustering problem.",

author = "Maravilha, {Andr{\'e} L.} and Ram{\'i}rez, {Jaime A.} and Felipe Campelo",

year = "2014",

month = jul,

day = "12",

doi = "10.1145/2598394.2598463",

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T2 - A set-based approach

AU - Maravilha, André L.

AU - Ramírez, Jaime A.

AU - Campelo, Felipe

PY - 2014/7/12

Y1 - 2014/7/12

N2 - This work presents a differential evolution algorithm for combinatorial optimization, in which a set-based representation and operators define subproblems that are used to explore the search space. The proposed method is tested on the capacitated centered clustering problem.

AB - This work presents a differential evolution algorithm for combinatorial optimization, in which a set-based representation and operators define subproblems that are used to explore the search space. The proposed method is tested on the capacitated centered clustering problem.

UR - https://dl.acm.org/citation.cfm?doid=2598394.2598463

U2 - 10.1145/2598394.2598463

DO - 10.1145/2598394.2598463

M3 - Conference publication

SN - 9781450328814

SP - 69

EP - 70

BT - Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion - GECCO Comp '14

PB - ACM

ER -

Combinatorial optimization with differential evolution: A set-based approach

Abstract

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16th Genetic and Evolutionary Computation Conference

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Combinatorial optimization with differential evolution: A set-based approach

Abstract

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16th Genetic and Evolutionary Computation Conference

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