Bio-inspired optimisation algorithms draw upon mechanisms observed in nature to address complex global optimisation tasks. These methods harness principles such as genetic evolution, swarm ...

Researchers have developed a new optimization algorithm modeled on how the platypus uses electroreception and spatial memory ...

Bio-inspired optimisation algorithms draw inspiration from natural processes and the adaptive behaviours of living organisms to address high-dimensional, nonlinear and multi-modal problems. By ...

A new deep learning framework that passively reads smartphone sensor data from college students can detect depression and ...

This diagram illustrates the step-by-step process of integrating a seven-level multilevel inverter with a grid-connected solar PV system, using the Greylag Goose Optimization (GGO) algorithm to ...