Publication2025
Multi-Objective Meta-Heuristic Algorithms for BLDC Motor Design Parameter Optimization
- Affordable and Clean Energy
- Industry, Innovation and Infrastructure
- Innovation, Science and Technology
The record
- Type
- Publication
- Date
- 18 November 2025
- Level
- National
- Journal
- Cyber Physical Systems Applications Challenges and Research Directions
- Pages
- 255-272
- Published
- 18 November 2025
- DOI
- 10.1201/9781779643421-17
- Scopus ID
- 105023362256
- Authors
- 3
- Open access
- No
- Citations
- 0
- 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
Multi-objective optimization research on brushless DC motor design using meta-heuristic algorithms to improve electromagnetic torque, power density and operational efficiency.
- 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
7 Ensure access to affordable, reliable, sustainable and modern energy for all
Energy-efficient motor design optimization contributing to improved performance of electric drive systems.
- 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.
- 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. Multi-objective optimization research on brushless DC motor design using meta-heuristic algorithms to improve electromagnetic torque, power density and operational efficiency.
- 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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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Multi-Objective Meta-Heuristic Algorithms for BLDC Motor Design Parameter Optimization”. Kortex.