Publication2013
Chemo-inspired genetic algorithm for function optimization
The record
- Type
- Publication
- Date
- 19 July 2013
- Level
- National
- Journal
- Applied Mathematics and Computation
- Volume
- 220
- Pages
- 394-404
- Published
- 19 July 2013
- DOI
- 10.1016/j.amc.2013.05.074
- Scopus ID
- 84880177647
- ISSN
- 00963003
- Authors
- 2
- Open access
- No
- Citations
- 17
- 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
Hybridized genetic algorithm incorporating bacterial chemotaxis operators demonstrates improved convergence for nonlinear optimization problems
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- 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
Evolutionary computation research advances optimization methodology for technical research problems
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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KIIT Deemed to be University. “Chemo-inspired genetic algorithm for function optimization”. Kortex.
