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Dense orthogonal initialization for deterministic PSO: ORTHOinit+

Autor: Matteo Diez, Giovanni Fasano, Riccardo Gusso, Cecilia Leotardi, Emilio F. Campana, Andrea Serani

Publikováno v: pp. 322–330, 2016
info:cnr-pdr/source/autori:Diez, Matteo; Serani, Andrea; Leotardi, Cecilia; Campana, Emilio Fortunato; Fasano, Giovanni; Gusso, Riccardo/titolo:Dense orthogonal initialization for deterministic PSO: ORTHOinit+/titolo_volume:/curatori_volume:/editore:/anno:2016
Lecture Notes in Computer Science ISBN: 9783319409993
ICSI (1)

This paper describes a novel initialization for Deterministic Particle Swarm Optimization (DPSO), based on choosing specific dense initial positions and velocities for particles. This choice tends to induce orthogonality of particles’ trajectories,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a60dcaf28e32e1b506c01898e4181f65
http://www.scopus.com/record/display.url?eid=2-s2.0-85007481636&origin=inward

Optimization of the Load Command for a Coal-Fired Power Unit via Particle Swarm Optimization – Long Short-Term Memory Model.

Autor: Hao, Xiaoguang¹ (AUTHOR) yufeishine@163.com, Yang, Chunlai¹ (AUTHOR), Chen, Heng² (AUTHOR) w1434492309@163.com, Dong, Jianning² (AUTHOR), Bao, Jiandong¹ (AUTHOR), Wang, Hui¹ (AUTHOR), Zhang, Wenbin¹ (AUTHOR)

Publikováno v: Energies (19961073). Jun2024, Vol. 17 Issue 11, p2668. 20p.

A proposal of PSO particles’ initialization for costly unconstrained optimization problems: ORTHOinit

Autor: Matteo Diez, Silvio Giove, Emilio F. Campana, Umberto Iemma, Daniele Peri, Andrea Serani, Giovanni Fasano, Cecilia Leotardi

Publikováno v: Scopus-Elsevier
Advances in Swarm Intelligence, 5th International Conference, ICSI 2014, pp. 126–133, Hefei, China, October 17-20, 2014
info:cnr-pdr/source/autori:Matteo Diez, Andrea Serani, Cecilia Leotardi, Emilio F. Campana, Daniele Peri, Umberto Iemma, Giovanni Fasano, Silvio Giove/congresso_nome:Advances in Swarm Intelligence, 5th International Conference, ICSI 2014/congresso_luogo:Hefei, China/congresso_data:October 17-20, 2014/anno:2014/pagina_da:126/pagina_a:133/intervallo_pagine:126–133
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ResearcherID
Advances in Swarm Intelligence: 5th International Conference, ICSI 2014, Hefei, China, October 17-20, 2014, Proceedings, Part I, edited by Ying Tan, Yuhui Shi, Carlos A. Coello Coello, pp. 126–133. Switzerland: Springer International Publishing, 2014
info:cnr-pdr/source/autori:Diez, Matteo; Serani, Andrea; Leotardi, Cecilia; Campana, Emilio F.; Peri, Daniele; Iemma, Umberto; Fasano, Giovanni; Giove, Silvio/titolo:A Proposal of PSO Particles' Initialization for Costly Unconstrained Optimization Problems: ORTHOinit/titolo_volume:Advances in Swarm Intelligence: 5th International Conference, ICSI 2014, Hefei, China, October 17-20, 2014, Proceedings, Part I/curatori_volume:Ying Tan, Yuhui Shi, Carlos A. Coello Coello/editore: /anno:2014
Lecture Notes in Computer Science ISBN: 9783319118567
ICSI (1)

A proposal for particles’ initialization in PSO is presented and discussed, with focus on costly global unconstrained optimization problems. The standard PSO iteration is reformulated such that the trajectories of the particles are studied in an ex

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42ded58cf6d0512441edb88ce6e7fabb
http://www.scopus.com/inward/record.url?eid=2-s2.0-84921498043&partnerID=MN8TOARS

Optimization design and reality of the virtual cutting process for the boring bar based on PSO-BP neural networks.

Autor: Sun, Yu-shan¹ sunyushan2009a@163.com, Zhang, Qiang²

Publikováno v: Neural Computing & Applications. Mar2018, Vol. 29 Issue 5, p1357-1367. 11p.