Publication2024
A new adaptive tuned Social Group Optimization (SGO) algorithm with sigmoid-adaptive inertia weight for solving engineering design problems
- Industry, Innovation and Infrastructure
- Innovation, Science and Technology
The record
- Type
- Publication
- Date
- 1 January 2024
- Level
- National
- Journal
- Multimedia Tools and Applications
- Volume
- 83
- Issue
- 1
- Pages
- 3021-3055
- Published
- 1 January 2024
- DOI
- 10.1007/s11042-021-11266-4
- Scopus ID
- 85113422478
- ISSN
- 13807501
- Authors
- 2
- Open access
- No
- Citations
- 20
- 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
Sigmoid-adaptive inertia weight Social Group Optimization algorithm demonstrates superior performance on benchmark functions and mechanical/chemical engineering 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 Innovation, Science and Technology
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 9 label. Sigmoid-adaptive inertia weight Social Group Optimization algorithm demonstrates superior performance on benchmark functions and mechanical/chemical engineering 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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Citing this record
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KIIT Deemed to be University. “A new adaptive tuned Social Group Optimization (SGO) algorithm with sigmoid-adaptive inertia weight for solving engineering design problems”. Kortex.