Publication2013
A performance study of chemo-inspired genetic algorithm on benchmark functions
The record
- Type
- Publication
- Date
- 1 January 2013
- Level
- National
- Journal
- Advances in Intelligent Systems and Computing
- Volume
- 202 AISC
- Issue
- VOL. 2
- Pages
- 489-501
- Published
- 1 January 2013
- DOI
- 10.1007/978-81-322-1041-2_42
- Scopus ID
- 84875095939
- ISSN
- 21945357
- Authors
- 2
- Open access
- No
- Citations
- 6
- 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 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Hybrid chemo-genetic algorithm demonstrates improved convergence rates for non-linear optimization problems in computational research
- 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-3.1 Research and development
Optimization algorithm research advances computational science and mathematical innovation methodology
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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Provenance
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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. “A performance study of chemo-inspired genetic algorithm on benchmark functions”. Kortex.