The optimisation of process planning has emerged as a pivotal aspect of modern manufacturing, where genetic algorithms (GAs) and hybrid techniques are leveraged to address the combinatorial complexity ...

[Kory] has been experimenting with genetic algorithms. Normally we’d expect his experiments to deal with tuning the variables in a control system or something, but he’s doing something much cooler.

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

Electric Vehicle (EV) equipped with two-speed transmission has benefit in improving dynamic performance and saving battery consumption. However, during gear shift process, torque interruption and ...

Energy Exploration & Exploitation, Vol. 39, No. 1 (January 2021), pp. 273-298 (26 pages) This paper establishes an error compensation multi-objective optimization ...

The core innovation lies in using improved genetic algorithms to optimize the evaluation process, simulating different user behavior patterns to achieve precise assessments of cabin interaction logic, ...