Cuckoo search is one of many nature-inspired algorithms used extensively to solve
optimisation problems in different fields of engineering. It is a very effective in solving global …

Electrochemical models are more and more widely applied in battery diagnostics,
prognostics and fast charging control, considering their high fidelity, high extrapolability and …

The research and development of metaheuristic methods are critical issues in computer
science. In the past decade, metaheuristic algorithms have been used in many engineering …

This manuscript proposes a hybrid method for measuring the battery's dynamic electrical
response as it is compressed by an external-force. The proposed hybrid technique is the …

To ensure the safe operation of electrical power systems, short-term load forecasting (STLF)
plays a significant role. With the development of artificial neural network (ANN), many …

To efficiently model, evaluate and track the maximum power point on Photovoltaic (PV)
systems, it is of great significance to estimate appropriate model parameters. In this study, a …

Selecting the optimal set of features to determine sentiment in online textual content is
imperative for superior classification results. Optimal feature selection is computationally …

Electric batteries have gained attention with recent developments in the transport sector,
especially with electric vehicles (EVs) technology and with the rapid development in the …

The paper proposed a new algorithm to solve the Multiskill Resource‐Constrained Project
Scheduling Problem (MS‐RCPSP), a combinational optimization problem proved in NP …

Abstract Cuckoo Search (CS) and Differential Evolution (DE) algorithms are considerably
robust meta-heuristic algorithms to solve constrained optimization problems. In this study …