1 citations · 2 across the 6 of their papers we have counts for
6 papers
Fig Tree-Wasp Symbiotic Coevolutionary Optimization Algorithm
Anand J Kulkarni, Isha Purnapatre, Apoorva S Shastri
The nature inspired algorithms are becoming popular due to their simplicity and wider applicability. In the recent past several such algorithms have been developed. They are mainly…
Solution to Advanced Manufacturing Process Problems using Cohort Intelligence Algorithm with Improved Constraint Handling Approaches
Aniket Nargundkar, Madhav Rawal, Aryaman Patel +2
Recently, various Artificial Intelligence (AI) based optimization metaheuristics are proposed and applied for a variety of problems. Cohort Intelligence (CI) algorithm is a socio i…
Snail Homing and Mating Search Algorithm: A Novel Bio-Inspired Metaheuristic Algorithm
Anand J Kulkarni, Ishaan R Kale, Apoorva Shastri +1
In this paper, a novel Snail Homing and Mating Search (SHMS) algorithm is proposed. It is inspired from the biological behaviour of the snails. Snails continuously travels to find…
Modified LAB Algorithm with Clustering-based Search Space Reduction Method for solving Engineering Design Problems
Ruturaj Reddy, Utkarsh Gupta, Ishaan Kale +2
A modified LAB algorithm is introduced in this paper. It builds upon the original LAB algorithm (Reddy et al. 2023), which is a socio-inspired algorithm that models competitive and…
LAB: A Leader-Advocate-Believer Based Optimization Algorithm
Ruturaj Reddy, Anand J Kulkarni, Ganesh Krishnasamy +2
This manuscript introduces a new socio-inspired metaheuristic technique referred to as Leader-Advocate-Believer based optimization algorithm (LAB) for engineering and global optimi…
Multi-Cohort Intelligence Algorithm: An Intra- and Inter-group Learning Behavior based Socio-inspired Optimization Methodology
Apoorva S Shastri, Anand J Kulkarni
A Multi-Cohort Intelligence (Multi-CI) metaheuristic algorithm in emerging socio-inspired optimization domain is proposed. The algorithm implements intra-group and inter-group lear…