Accurate parameter identification is crucial for a precise PV cell modelling and analysis of
characteristics of PV systems, while high nonlinearity of output IV curve makes this problem …

Precise model parameters being the prerequisite for realizing accurate PV models,
parameter identification techniques have gained immense interest over the years among the …

A novel metaheuristic called Chaotic Marine Predators Algorithm (CMPA) is proposed and
investigated for the optimization of engineering problems. CMPA integrates the exploration …

JADE is a differential evolution (DE) algorithm and has been shown to be very competitive in
comparison with other evolutionary optimization algorithms. However, it suffers from the …

Electrostatic Force is one of the fundamental force of physical world. The concept of electric
field and charged particles provide us a strong theory for the working force of attraction or …

Abstract Farmland Fertility Algorithm (FFA) is a recent nature-inspired metaheuristic
algorithm for solving optimization problems. Nevertheless, FFA has some drawbacks: slow …

Recently, the resources of renewable energy have been in intensive use due to their
environmental and technical merits. The identification of unknown parameters in …

Bridges are one of the fundamental infrastructure assets that are vital for economic growth
and public welfare. Over the past few decades, the numbers of deteriorating bridges have …

Real-world optimization problems require some advanced metaheuristic algorithms, which
functionally sustain a variety of solutions and technically explore the tracking space to find …

In this paper, by analyzing the best chaotic sequences generated by sixteen different chaotic
maps, a novel chaos optimization algorithm is presented. It can intelligently base on different …