Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/23150
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | VANHOENSHOVEN, Frank | - |
dc.contributor.author | NAPOLES RUIZ, Gonzalo | - |
dc.contributor.author | CREEMERS, Mathijs | - |
dc.contributor.author | VANHOOF, Koen | - |
dc.contributor.author | Espinosa, Maikel Leon | - |
dc.date.accessioned | 2017-02-20T12:51:18Z | - |
dc.date.available | 2017-02-20T12:51:18Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | The 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016), Athens, Greece, 6-9/12/2016 | - |
dc.identifier.uri | http://hdl.handle.net/1942/23150 | - |
dc.description.abstract | The area of population-based meta-heuristics has been researched extensively in recent years. The focus of this research has been on finding improvements and variations to existing algorithms while the inner details, that are treated as a black box, remain poorly understood. The purpose of this paper is to uncover the detailed behavior of Variable Mesh Optimization (VMO), a population-based meta-heuristic, and describe the patterns that drive the algorithm in finding new optima. Our results suggest that, in VMO, the improvement of the best solution is strongly correlated with its adaptive clearing mechanism. It is observed that each relaxation of the threshold that is used by the mechanism, is likely to increase the accuracy of the final solution. These findings suggest that future research, aiming to improve algorithm accuracy, could focus on improving the adaptive clearing mechanism in order to increase the likelihood of creating superior algorithms. | - |
dc.language.iso | en | - |
dc.subject.other | vmo; pmh; variable mesh optimization; population-based heuristics; adaptive clearing mechanism; optimization; algorithm | - |
dc.title | Analyzing the Impact of the Adaptive Clearing Mechanism on Algorithm Accuracy in Variable Mesh Optimization | - |
dc.type | Conference Material | - |
local.bibliographicCitation.conferencedate | 6-9/12/2016 | - |
local.bibliographicCitation.conferencename | The 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016) | - |
local.bibliographicCitation.conferenceplace | Athens, Greece | - |
local.format.pages | 17 | - |
local.bibliographicCitation.jcat | C2 | - |
local.type.refereed | Non-Refereed | - |
local.type.specified | Paper | - |
local.bibliographicCitation.btitle | 2016 IEEE Swarm Intelligence Symposium | - |
item.fullcitation | VANHOENSHOVEN, Frank; NAPOLES RUIZ, Gonzalo; CREEMERS, Mathijs; VANHOOF, Koen & Espinosa, Maikel Leon (2016) Analyzing the Impact of the Adaptive Clearing Mechanism on Algorithm Accuracy in Variable Mesh Optimization. In: The 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016), Athens, Greece, 6-9/12/2016. | - |
item.contributor | VANHOENSHOVEN, Frank | - |
item.contributor | NAPOLES RUIZ, Gonzalo | - |
item.contributor | CREEMERS, Mathijs | - |
item.contributor | VANHOOF, Koen | - |
item.contributor | Espinosa, Maikel Leon | - |
item.fulltext | With Fulltext | - |
item.accessRights | Open Access | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Analyzing the Impact of the Adaptive Clearing Mechanism on Algorithm Accuracy.pdf | Conference material | 378.06 kB | Adobe PDF | View/Open |
Page view(s)
72
checked on Sep 7, 2022
Download(s)
192
checked on Sep 7, 2022
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.