Kusum Deep

Cauchy Grey Wolf Optimiser for continuous optimisation problems

2018 · Journal of Experimental & Theoretical Artificial Intelligence

Grey Wolf Optimiser (GWO) is a recently developed optimisation approach to solve complex non-linear optimisation problems. It is relatively simple and leadership-hierarchy based approach in the class of Swarm Intelligence based algorithms. For solving complex …

Laplacian biogeography-based algorithm using a gaining–sharing knowledge-based strategy for global optimization problems and the Lennard-Jones problem

2025 · Engineering Optimization

Hybridizing nature-inspired algorithms helps to overcome the limitations of the individual algorithms. These methods are good at either exploration or exploitation. The balance between these two is a crucial factor in designing a robust and …