Editorial
Machine learning, artificial intelligence, data science, cloud computing, information technology, digital twins, Internet of Things, etc., are emerging trends to deal with complex and challenging problems in a variety of business, scientific, and social domains. The paper “Improving the Analytic Hie...
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| Veröffentlicht in: | Programming and computer software 2021-12, Vol.47 (8), p.555-557 |
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| container_issue | 8 |
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| container_title | Programming and computer software |
| container_volume | 47 |
| creator | Tchernykh, A Ramírez, Reyes Juárez |
| description | Machine learning, artificial intelligence, data science, cloud computing, information technology, digital twins, Internet of Things, etc., are emerging trends to deal with complex and challenging problems in a variety of business, scientific, and social domains. The paper “Improving the Analytic Hierarchy Process (AHP) for requirements prioritization using Evolutionary Computing” presents an improved AHP using evolutionary computing techniques to optimize requirements prioritization. [...]the guest editors are thankful to all authors who submitted high-quality manuscripts and our reviewers for their efforts in reviewing the contributions. |
| doi_str_mv | 10.1134/S0361768821080247 |
| format | Article |
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| identifier | ISSN: 0361-7688 |
| ispartof | Programming and computer software, 2021-12, Vol.47 (8), p.555-557 |
| issn | 0361-7688 1608-3261 |
| language | eng |
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| source | SpringerLink Journals - AutoHoldings; ProQuest Central |
| subjects | Analytic hierarchy process Approximation Artificial intelligence Automation Case studies Cloud computing Data base management systems Data mining Decision making Digital twins Editors Genetic algorithms Internet of Things Learning curves Machine learning Maximum likelihood method Neural networks Number systems Personality Software Surveillance Trends Unmanned aerial vehicles |
| title | Editorial |
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