This paper proposes a new stochastic optimizer called the Colony Predation Algorithm
(CPA) based on the corporate predation of animals in nature. CPA utilizes a mathematical …

In recent years, a variety of meta-heuristic nature-inspired algorithms have been proposed to
solve complex optimization problems. However, these algorithms suffer from the …

Image segmentation is an essential pre-processing step and is an indispensable part of
image analysis. This paper proposes Renyi's entropy multi-threshold image segmentation …

Optimization techniques are among the most promising methods to deal with real-world
problems, consisting of several objective functions and constraints. Over the decades, many …

Abstract Fruit Fly Optimization Algorithm (FOA) is a metaheuristic algorithm inspired by fruit
fly foraging behaviours. A large numbers of variants of FOA have been proposed by many …

The slime mould algorithm is an interesting swarm-based algorithm proposed in 2020 based
on this entity's trajectory finding abilities in nature. It simulates slime mould movement …

Alzheimer's disease (AD) is a typical senile degenerative disease that has received
increasing attention worldwide. Many artificial intelligence methods have been used in the …

A critical aspect of the design, simulation, control, and optimization of Photovoltaic (PV)
systems is evaluating the PV model's optimal parameter values based on the actual …

Abstract The Sine Cosine Algorithm (SCA) is an outstanding optimizer that is appreciably
used to dissolve complicated real-world problems. Nevertheless, this algorithm lacks …

Since the outbreak of COVID-19, it has seriously endangered the health of human beings.
Computer automatic segmentation of COVID-19 X-ray images is an important means to …