As data volumes have increased and difficulty in tackling vast and complicated problems
has emerged, the need for innovative and intelligent solutions to handle these difficulties …

This research proposes a novel Hybrid Success History Intelligent Optimizer with Gaussian
Transformation (SHIOGT) for solving different complexity level optimization problems and for …

The main objective of this study is to formulate and solve the model of non-linear fixed-
charge transportation problem (NFCTP), which is one of the NP-hard problems. This type of …

This study presents the Hybrid COASaDE Optimizer, a novel combination of the Crayfish
Optimization Algorithm (COA) and Self-adaptive Differential Evolution (SaDE), designed to …

Mobile Social Networks (MSNs) have emerged as pivotal platforms for communication,
information dissemination, and social connection in contemporary society. As their …

In ophthalmic diagnostics, achieving precise segmentation of retinal blood vessels is a
critical yet challenging task, primarily due to the complex nature of retinal images. The …

Robot path planning is a critical challenge in robotics, demanding efficient navigation and
effective obstacle avoidance in complex environments. This research investigates the …

In this paper, we introduce a novel optimization algorithm called the OX optimizer, inspired
by oxen animals, which are characterized by their great strength. The OX optimizer is …

In the recent years of the progress of data volumes and the emergence of complexity in
solving large and complex problems, the need for advanced and intelligent methods to deal …

Swarm intelligence (SI) is part of artificial intelligence that is based on the collective behavior
of particles in a self-organized and decentralized intelligent systems which is inspired from …