Publication2020
Multi-objective artificial bee colony algorithms and chaotic-TOPSIS method for solving flowshop scheduling problem and decision making
The record
- Type
- Publication
- Date
- 1 January 2020
- Level
- National
- Journal
- Informatica Slovenia
- Volume
- 44
- Issue
- 2
- Pages
- 241-262
- Published
- 1 January 2020
- DOI
- 10.31449/inf.v44i2.2616
- Scopus ID
- 85090759661
- ISSN
- 03505596
- Authors
- 3
- Open access
- Yes
- Citations
- 6
- 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
Discrete artificial bee colony algorithm extended to multi-objective optimization with local search algorithms advances metaheuristic research capacity and computational optimization methods.
- 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
Research and development in advanced optimization algorithms contributes to computational problem-solving capacity for manufacturing scheduling.
- 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. “Multi-objective artificial bee colony algorithms and chaotic-TOPSIS method for solving flowshop scheduling problem and decision making”. Kortex.