Publication2020
Bio-inspired algorithms: principles, implementation, and applications to wireless communication
The record
- Type
- Publication
- Date
- 1 January 2020
- Level
- National
- Journal
- Nature Inspired Computation and Swarm Intelligence Algorithms Theory and Applications
- Pages
- 49-63
- Published
- 1 January 2020
- DOI
- 10.1016/b978-0-12-819714-1.00013-0
- Scopus ID
- 85165802222
- Authors
- 1
- Open access
- No
- Citations
- 21
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Bio-inspired algorithms including genetic algorithms, particle swarm optimization and differential evolution for wireless communication optimization advances research innovation.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Optimization algorithms and telecommunications technology exemplifies digital technology and communications innovation.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Bio-inspired algorithms: principles, implementation, and applications to wireless communication”. Kortex.