MEvo: a framework for effective macro sets evolution.
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| Title: | MEvo: a framework for effective macro sets evolution. |
|---|---|
| Authors: | Vallati, Mauro1, m.vallati@hud.ac.uk, Chrpa, Lukáš2,3, Serina, Ivan4 |
| Source: | Journal of Experimental & Theoretical Artificial Intelligence; Aug2020, Vol. 32 Issue 4, p685-703, 19p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 144667462 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: MEvo: a framework for effective macro sets evolution. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Vallati%2C+Mauro%22">Vallati, Mauro</searchLink><relatesTo>1</relatesTo>, <i>m.vallati@hud.ac.uk</i><br /><searchLink fieldCode="AU" term="%22Chrpa%2C+Lukáš%22">Chrpa, Lukáš</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Serina%2C+Ivan%22">Serina, Ivan</searchLink><relatesTo>4</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Experimental+%26+Theoretical+Artificial+Intelligence%22">Journal of Experimental & Theoretical Artificial Intelligence</searchLink>; Aug2020, Vol. 32 Issue 4, p685-703, 19p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=144667462 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/0952813X.2019.1672796 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 685 Titles: – TitleFull: MEvo: a framework for effective macro sets evolution. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Vallati, Mauro – PersonEntity: Name: NameFull: Chrpa, Lukáš – PersonEntity: Name: NameFull: Serina, Ivan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 0952813X Numbering: – Type: volume Value: 32 – Type: issue Value: 4 Titles: – TitleFull: Journal of Experimental & Theoretical Artificial Intelligence Type: main |
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