Integrated AWA fitness PSO-SPICE framework for automated design and optimisation of analogue and mixed-signal ICs
The design and optimisation of analogue and mixed-signal integrated circuits become intractable with technology scaling. It gives rise to multi-dimensional tradeoffs among its numerous performance metrics. Evolutionary algorithms are being explored to ...
Genetic whale optimisation algorithm for solving travelling salesman problem
Travelling salesman problem (TSP) is a hard combinatorial optimisation problem that has an enormous discrete search space with an excess of potential solutions. In this condition, it is impossible to carry out an exhaustive search using merely brute ...
Rotor fault characterisation in induction motors under different load levels via machine learning methods
Induction motors stand out for their robustness and are widely used in the industrial sector. Literature studies have focused more on rotor faults because rotor fault signatures are hard to detect. In most experimental studies, tests were carried out ...
Optimisation of spatial-exploitation CNN models through hyperparameter-tuning and human-in-the-loop combination
Spatial-exploitation convolutional neural networks (CNNs) have a simplified architecture compared to other CNN models. However, devices with limited computational resources could struggle with processing spatial-exploitation CNNs. To address this, we ...
Improved moth flame optimisation succored FOPID controller of integrated industrial processes with delay time
The control of industrial process in the presence of delay time is a demanding benchmark control issue. The conventional feedback controllers and tuning approaches do not provide the controller with enough robustness to prevent delay time. Using a ...