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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2019

A Survey on Parallel Particle Swarm Optimization Algorithms

The record

Type
Publication
Date
1 April 2019
Level
National
Journal
Arabian Journal for Science and Engineering
Volume
44
Issue
4
Pages
2899-2923
Published
1 April 2019
DOI
10.1007/s13369-018-03713-6
Scopus ID
85063260051
ISSN
2193567X
Authors
5
Open access
No
Citations
136
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetPrimaryHigh confidenceJudged

    Comprehensive survey of parallel particle swarm optimization algorithms for research and innovation capacity in computational problem-solving without specified applied domain.

    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

  1. vb-3.1 Research and development

    Sub-themePrimaryHigh confidenceJudged

    Research and development advances in optimization methodologies and swarm intelligence algorithm design.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “A Survey on Parallel Particle Swarm Optimization Algorithms”. Kortex.

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