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 ...
Energy Exploration & Exploitation, Vol. 39, No. 1 (January 2021), pp. 273-298 (26 pages) This paper establishes an error compensation multi-objective optimization ...
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 ...
Optimization seeks to find the best. It could be to design a process that minimizes capital or maximizes material conversion, to choose operating conditions that maximize throughput or minimize waste, ...
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 ...
Genetic algorithms borrow their name and principles from biological evolution, but can they help researchers discover the fundamentals of life? Evolution is one of the most widely known theories in ...
Pairing artificial intelligence techniques called Q-learning and advantage actor-critic provides new way to optimize hybrid photovoltaic-thermoelectric systems.
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