2 citations · 4 across the 4 of their papers we have counts for
4 papers
A socio-physics based hybrid metaheuristic for solving complex non-convex constrained optimization problems
Ishaan R Kale, Anand J Kulkarni, Efren Mezura-Montes
Several Artificial Intelligence based heuristic and metaheuristic algorithms have been developed so far. These algorithms have shown their superiority towards solving complex probl…
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…
Constrained Cohort Intelligence using Static and Dynamic Penalty Function Approach for Mechanical Components Design
Omkar Kulkarni, Ninad Kulkarni, Anand J Kulkarni +1
Most of the metaheuristics can efficiently solve unconstrained problems; however, their performance may degenerate if the constraints are involved. This paper proposes two constrai…