Conventionally, Earth system (eg, weather and climate) forecasting relies on numerical
simulation with complex physical models and hence is both expensive in computation and …

The memristor is a fundamental two-terminal electrical component unique in that it
possesses the properties of non-linearity and memory, which are pervasive across natural …

Flower Pollination algorithm (FPA) is a new nature-inspired algorithm, based on the
characteristics of flowering plants. In this paper, a new hybrid optimization method called …

Global optimization methods play an important role to solve many real-world problems.
Flower pollination algorithm (FP) is a new nature-inspired algorithm, based on the …

A data-driven approach insensitive to the initial conditions was developed to extract
governing equations for the concentration of CO2 in the Altamira cave (Spain) and its two …

While predicting the course of an epidemic is difficult, predicting the course of a pandemic
from an emerging virus is even more so. The validity of most predictive models relies on …

We study the effect of many-body quantum interference on the dynamics of coupled
periodically kicked systems whose classical dynamics is chaotic and shows an unbounded …

This study presents an improved chaotic flower pollination algorithm (CFPA) with a view to
handle the optimal power flow (OPF) problem integrating a hybrid wind and solar power and …

Image segmentation with clustering approach is widely used in biomedical application.
Accurate brain Magnetic Resonance (MR) image segmentation is a challenging task due to …

Flower pollination algorithm is a new nature-inspired algorithm, based on the characteristics
of flowering plants. In this paper, a new method is developed based on the Flower …