Segmentation is a crucial step in image processing applications. This process separates
pixels of the image into multiple classes that permits the analysis of the objects contained in …

Image processing is among the significant areas of growth in the current scenario. It consist
of a set of techniques typically used to enhance the raw image obtained from different …

Abstract The Proportional-Integral-Derivative (PID) controller is a key component in most
engineering applications. The main disadvantage of PID is the selection of the best values …

Single-solution-based optimization algorithms are computationally cheap yet powerful
methods that can be used on various optimization tasks at minimal processing expenses …

The digital image segmentation is an open problem that is growing day by day and is
attracting the attention of researchers from last few years. Image resolution and their speed …

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 …

This paper proposes a novel multi-hybrid algorithm named DHPN, using the best-known
properties of dwarf mongoose algorithm (DMA), honey badger algorithm (HBA), prairie dog …

This study aims to evaluate energy efficiency in emerging economies. Within this context, a
hybrid fuzzy multi-criteria decision-making (MCDM) model is generated. In this model, firstly …

Segmentation is an essential preprocessing step in techniques for image analysis. The
automatic segmentation of brain magnetic resonance imaging has been exhaustively …