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pro vyhledávání: '"Shastri, Apoorva S."'
Recently, various Artificial Intelligence (AI) based optimization metaheuristics are proposed and applied for a variety of problems. Cohort Intelligence (CI) algorithm is a socio inspired optimization technique which is successfully applied for solvi
Externí odkaz:
http://arxiv.org/abs/2310.10085
This manuscript introduces a new socio-inspired metaheuristic technique referred to as Leader-Advocate-Believer based optimization algorithm (LAB) for engineering and global optimization problems. The proposed algorithm is inspired by the AI-based co
Externí odkaz:
http://arxiv.org/abs/2204.11049
Autor:
Shastri, Apoorva S, Kulkarni, Anand J
A Multi-Cohort Intelligence (Multi-CI) metaheuristic algorithm in emerging socio-inspired optimization domain is proposed. The algorithm implements intra-group and inter-group learning mechanisms. It focusses on the interaction amongst different coho
Externí odkaz:
http://arxiv.org/abs/1806.01681
Akademický článek
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Autor:
Shastri, Apoorva S.1,2 (AUTHOR) apoorva.shastri@sitpune.edu.in, Nargundkar, Aniket2 (AUTHOR), Kulkarni, Anand J.2 (AUTHOR), Sharma, Kamal Kumar1 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Sep2020, Vol. 32 Issue 18, p15055-15075. 21p.
Publikováno v:
International Journal of Parallel, Emergent & Distributed Systems; Dec2018, Vol. 33 Issue 6, p675-715, 41p
Publikováno v:
Innovations in Bio-Inspired Computing & Applications; 2016, p427-435, 9p