FOX: a FOX-inspired optimization algorithm

• Published in: Applied intelligence (Dordrecht, Netherlands) Vol. 53; no. 1; pp. 1030 - 1050
• Main Authors: Mohammed, Hardi, Rashid, Tarik
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.01.2023; Springer Nature B.V
• Subjects: Artificial Intelligence; Benchmarks; Computer Science; Foxes; Genetic algorithms; Machines; Manufacturing; Mechanical Engineering; Optimization algorithms; Parameter sensitivity; Particle swarm optimization; Power dispatch; Pressure vessel design; Pressure vessels; Processes; Sensitivity analysis; Economic load dispatch problem; Pressure vessel design problem; Benchmark test functions; FOX optimizer

This paper proposes a novel nature-inspired optimization algorithm called the Fox optimizer (FOX) which mimics the foraging behavior of foxes in nature when hunting preys. The algorithm is based on techniques for measuring the distance between the fox and its prey to execute an efficient jump. After...