As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …

Research in metaheuristics for global optimization problems are currently experiencing an
overload of wide range of available metaheuristic-based solution approaches. Since the …

This study presents a novel physics-based metaheuristic algorithm called Kepler
optimization algorithm (KOA), inspired by Kepler's laws of planetary motion to predict the …

Motivated by the hunting strategies of cheetahs, this paper proposes a nature-inspired
algorithm called the cheetah optimizer (CO). Cheetahs generally utilize three main …

This work presents a new nature-inspired meta-heuristic algorithm named spider wasp
optimization (SWO) algorithm, which is based on replicating the hunting, nesting, and mating …

This research's genesis is in two aspects: first, a guaranteed solution for mitigating the grey
wolf optimizer's (GWO) defect and deficiencies. Second, we provide new open-minding …

A new bio-inspired optimization technique, named Manta Ray Foraging Optimization
(MRFO) algorithm, is proposed and presented, aiming to providing a novel algorithm that …

A closed-loop option for reusing, remanufacturing, and recycling waste products in the olive
industry creates a high added value for this business network. This fact motivates the …

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 …

This study presents a new nature-inspired optimization algorithm, namely the Mantis Search
Algorithm (MSA), inspired by the unique hunting behavior and sexual cannibalism of praying …