Barnacles mating optimizer : a new bio-inspired algorithm for solving engineering optimization problems

• Main Authors: M. H., Sulaiman, Zuriani, Mustaffa, Mohd Mawardi, Saari, Hamdan, Daniyal
• Format: Article
• Language: English
• Published: Elsevier 2020
• Subjects: QA75 Electronic computers. Computer science; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/27252/1/Barnacles%20mating%20optimizer%20-%20a%20new%20bio-inspired%20algorithm%20.pdf; http://umpir.ump.edu.my/id/eprint/27252/; https://doi.org/10.1016/j.engappai.2019.103330; https://doi.org/10.1016/j.engappai.2019.103330

This paper presents a novel bio-inspired optimization algorithm namely the Barnacles Mating Optimizer (BMO) algorithm to solve optimization problems. The proposed algorithm mimics the mating behaviour of barnacles in nature for solving optimization problems. The BMO is first benchmarked on a set of...