A Max–Min Ant System algorithm to solve the Software Project Scheduling Problem.
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| Title: | A Max–Min Ant System algorithm to solve the Software Project Scheduling Problem. |
|---|---|
| Authors: | Crawford, Broderick1,2, Soto, Ricardo1,3, Johnson, Franklin1,4, franklin.johnson@upla.cl, Monfroy, Eric5, Paredes, Fernando6 |
| Source: | Expert Systems with Applications; Nov2014, Vol. 41 Issue 15, p6634-6645, 12p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 96982355 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=96982355 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.eswa.2014.05.003 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 6634 Titles: – TitleFull: A Max–Min Ant System algorithm to solve the Software Project Scheduling Problem. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Crawford, Broderick – PersonEntity: Name: NameFull: Soto, Ricardo – PersonEntity: Name: NameFull: Johnson, Franklin – PersonEntity: Name: NameFull: Monfroy, Eric – PersonEntity: Name: NameFull: Paredes, Fernando IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 09574174 Numbering: – Type: volume Value: 41 – Type: issue Value: 15 Titles: – TitleFull: Expert Systems with Applications Type: main |
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