Particle swarm and population structure

Carlos M. Fernandes; Agostinho C. Rosa; Nuno Fachada; Juan L. J. Laredo; J. J. Merelo

doi:10.1145/3205651.3205779

Particle swarm and population structure

Carlos M. Fernandes, Agostinho C. Rosa, Nuno Fachada, Juan L. J. Laredo, J. J. Merelo

ECATI - School of Communication, Arts and Information

Research output: Contribution to conference › Paper

Abstract

We investigate the convergence speed, accuracy, robustness and scalability of PSOs structured by regular and random graphs with 3 ≤ k ≤ n. The main conclusion is that regular and random graphs with the same averaged connectivity k may result in significantly different performance, namely when k is low.

Original language	English
DOIs	https://doi.org/10.1145/3205651.3205779
Publication status	Published - 2018
Event	ACM - Duration: 17 Nov 2022 → …

Conference

Conference	ACM
Period	17/11/22 → …

Bibliographical note

GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion

Keywords

PARTICLE SWARM OPTIMIZATION
POPULATION

Access to Document

10.1145/3205651.3205779

2018 gecco psoFinal published version, 1.06 MB

Cite this

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title = "Particle swarm and population structure",

abstract = "We investigate the convergence speed, accuracy, robustness and scalability of PSOs structured by regular and random graphs with 3 ≤ k ≤ n. The main conclusion is that regular and random graphs with the same averaged connectivity k may result in significantly different performance, namely when k is low.",

keywords = "POPULA{\c C}{\~A}O, OTIMIZA{\c C}{\~A}O POR ENXAME DE PART{\'I}CULAS, PARTICLE SWARM OPTIMIZATION, POPULATION",

author = "Fernandes, {Carlos M.} and Rosa, {Agostinho C.} and Nuno Fachada and Laredo, {Juan L. J.} and Merelo, {J. J.}",

note = "GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion; ACM ; Conference date: 17-11-2022",

year = "2018",

doi = "10.1145/3205651.3205779",

language = "English",

}

TY - CONF

T1 - Particle swarm and population structure

AU - Fernandes, Carlos M.

AU - Rosa, Agostinho C.

AU - Fachada, Nuno

AU - Laredo, Juan L. J.

AU - Merelo, J. J.

N1 - GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion

PY - 2018

Y1 - 2018

N2 - We investigate the convergence speed, accuracy, robustness and scalability of PSOs structured by regular and random graphs with 3 ≤ k ≤ n. The main conclusion is that regular and random graphs with the same averaged connectivity k may result in significantly different performance, namely when k is low.

AB - We investigate the convergence speed, accuracy, robustness and scalability of PSOs structured by regular and random graphs with 3 ≤ k ≤ n. The main conclusion is that regular and random graphs with the same averaged connectivity k may result in significantly different performance, namely when k is low.

KW - POPULAÇÃO

KW - OTIMIZAÇÃO POR ENXAME DE PARTÍCULAS

KW - PARTICLE SWARM OPTIMIZATION

KW - POPULATION

UR - http://hdl.handle.net/10437/10192

U2 - 10.1145/3205651.3205779

DO - 10.1145/3205651.3205779

M3 - Paper

T2 - ACM

Y2 - 17 November 2022

ER -

Particle swarm and population structure

Abstract

Conference

Bibliographical note

Keywords

Access to Document

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