In this paper, we innovatively propose the Arctic Puffin Optimization (APO), a metaheuristic
optimization algorithm inspired by the survival and predation behaviors of the Arctic puffin …

Reliable and accurate brain tumor segmentation is a challenging task even with the
appropriate acquisition of brain images. Tumor grading and segmentation utilizing Magnetic …

The usage of conventional fossil fuels has aided fast economic growth while also having
negative consequences, such as increased global warming and the destruction of the …

This paper introduces the Quantum Chimp Optimization Algorithm (QU-ChOA), which
integrates the Chimp Optimization Algorithm (ChOA) with quantum mechanics principles to …

Abstract Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm
intelligence methods. It has been widely tailored for a wide variety of optimization problems …

Many new algorithms have been proposed to solve the mathematical equations formulated
to describe the real-world problems. But there still does not exist one algorithm that could …

Abstract The Multi-Objective Chimp Optimization Algorithm (MOChOA), a multi-objective
variation of the recently proposed ChOA, is developed in this research to address multi …

Researchers are becoming increasingly interested in studying how to accurately estimate
the parameters of solar PV models. In this regard, this paper proposes a newly proposed …

Due to the challenging constraint search space of real-world engineering problems, a
variation of the Chimp Optimization Algorithm (ChOA) called the Universal Learning Chimp …

Clustering and routing processes in underwater wireless sensor networks (UWSNs) are
challenging tasks in the underwater environment due to the multiplicity of sensor nodes …