The contribution of solar photovoltaics (PV׳ s) in generation of electric power is continually
increasing. PV cells are commonly modelled as circuits. Finding appropriate circuit model …

Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in
dealing with various optimization problems in diverse fields, such as power and energy …

Grasshopper optimization algorithm (GOA) is a new meta-heuristic algorithm inspired by the
swarming behavior of grasshoppers. The present study introduces chaos theory into the …

This study proposes a novel hybrid metaheuristic optimization algorithm named chaotic
Runge Kutta optimization (CRUN). In this study, 10 diverse chaotic maps are being …

Abstract The Combined Heat and Power Economic Dispatch (CHPED) is a real-world
optimization problem with several complex constraints that has been a topic of studies …

Bat algorithm (BA) is a recent optimization algorithm based on swarm intelligence and
inspiration from the echolocation behavior of bats. One of the issues in the standard bat …

Estimating circuit model parameters of PV cells/modules represents a challenging problem.
PV cell/module parameter estimation problem is typically translated into an optimisation …

Water cycle algorithm (WCA) is one of the efficient metaheuristic optimization algorithms
inspired by hydrological cycle in nature. WCA can outperform several robust and efficient …

Particle swarm optimisation (PSO) is a well-established optimisation algorithm inspired from
flocking behaviour of birds. The big problem in PSO is that it suffers from premature …

A novel bat algorithm (NBA) is proposed for optimization in this paper, which focuses on
further mimicking the bats' behaviors and improving bat algorithm (BA) in view of biology …