Publication2017
Comparative Analysis of Ant Colony and Particle Swarm Optimization Algorithms for Distance Optimization
The record
- Type
- Publication
- Date
- 1 January 2017
- Level
- National
- Journal
- 11th Indiacom 4th International Conference on Computing for Sustainable Global Development Indiacom 2017
- Pages
- 6507-6510
- Published
- 1 January 2017
- Scopus ID
- 105010823844
- Authors
- 2
- Open access
- No
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
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UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Comparative analysis of ant colony and particle swarm optimization algorithms demonstrates swarm intelligence methodology for distance optimization.
- 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 and comparative evaluation advances research capacity in mathematical modeling.
- 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. “Comparative Analysis of Ant Colony and Particle Swarm Optimization Algorithms for Distance Optimization”. Kortex.