Meta-heuristic algorithms are effective in solving complex optimization problems with
advantages of flexibility for coding, robustness and global optimization capability. An …

In this article, a new variant of a recent optimization algorithm namely Runge Kutta optimizer
(RUN) is proposed to solve the partial shading condition in photovoltaic systems and global …

Golden eagle optimizer (GEO) is a recently introduced nature-inspired metaheuristic
algorithm, which simulates the spiral hunting behavior of golden eagles in nature …

With a wide range of applications, image segmentation is a complex and difficult
preprocessing step that plays an important role in automatic visual systems, which accuracy …

The suspended sediment load (SSL) prediction is one of the most important issues in water
engineering. In this article, the adaptive neuro-fuzzy interface system (ANFIS) and support …

As a classifier suitable for nonlinear samples, support vector machines (SVM) is widely used
in Electroencephalogram (EEG) signals pattern recognition. The performance of SVM …

The need to determine the optimum well placement which causes maximum cumulative oil
production has dramatically raised in recent years. Hence, there is a need for a reliable and …

Pneumonia is a major cause of death among children below the age of 5 years, globally. It is
especially prevalent in developing and underdeveloped nations where the risk factors for …

In this paper, an enhanced hybrid chameleon swarm algorithm (CSA) is proposed and
applied to the degree reduction problem of disk Wang–Ball (DWB) curve. CSA is a novel …

Medical image segmentation is crucial in using digital images for disease diagnosis,
particularly in post-processing tasks such as analysis and disease identification …