Northern Goshawk Optimization: A New Swarm-Based Algorithm for Solving Optimization Problems

• Published in: IEEE access Vol. 9; pp. 162059 - 162080
• Main Authors: Dehghani, Mohammad, Hubalovsky, Stepan, Trojovsky, Pavel
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Design engineering; Exploitation; exploration; Games; Genetic algorithms; Hunting; Linear programming; Machine learning; Mathematical models; northern goshawk; Optimization; optimization problem; Particle swarm optimization; Predator-prey simulation; Search algorithms; Search problems; Sociology; Statistics

Optimization algorithms are one of the effective stochastic methods in solving optimization problems. In this paper, a new swarm-based algorithm called Northern Goshawk Optimization (NGO) algorithm is presented that simulates the behavior of northern goshawk during prey hunting. This hunting strateg...