In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …

This paper proposes a multi-strategy, multiple algorithms based hybrid strategy using flower
pollination algorithm (FPA), grey wolf optimizer (GWO), INFO, and naked mole rat algorithm …

A multi-hybrid algorithm is proposed in this paper based on the Kepler Optimization
algorithm (KOA), Red Panda Optimization (RPO), Meerkat Optimization (MO), and Grey Wolf …

Accurate detection of pests is vital in smart agriculture as it is among the main factors that
profoundly influence the yield and quality of crops. In the actual field, pests frequently …

The inherent bias between inferred results from small-sized data and true values can be
mitigated through the introduction of resampling and interval regression techniques …

Integrating solar photovoltaic (PV) systems into the modern power grid introduces a variety
of new problems. The accurate modelling of PV is required to strengthen the system …

Feature selection aims to select crucial features to improve classification accuracy in
machine learning and data mining. In this paper, a new binary grasshopper optimization …

Cultivation process (CP) modeling and optimization are ambitious tasks due to the nonlinear
nature of the models and interdependent parameters. The identification procedures for such …

This paper considers the inverse p-median location problem with variable edge lengths and
variable vertex weights on general graphs in which the modification costs are the fuzzy …

As the demand for more complex circuits increases, so does the duration of creating and
testing them. The most time-consuming task in circuit development is notoriously the …