Barnacles Mating Optimizer (BMO)

por Mohd Herwan Sulaiman

The main inspiration of BMO is originated from the mating behavior of barnacles in nature.

http://ee.ump.edu.my/herwan/index.php/research/barnacles-mating-optimizer-bmo

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Actualizado 1 abr 2020

The main inspiration of BMO is originated from the mating behavior of barnacles in nature. Barnacles are hermaphroditic micro-organisms which have both male and female sex reproductions. To create new off-springs, they must be fertilized by a neighbor. They are well-known for their long penises, about seven times the length of their bodies to cope with the changing tides and sedentary lifestyle. In BMO, the selection of barnacle’s parents is decided randomly by the length of barnacle’s penis to create new off-springs. The exploitation and exploration processes are the generation of new off-springs inspired by the Hardy-Weinberg principle and sperm cast situation, respectively.

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Sulaiman, Mohd Herwan, et al. “Barnacles Mating Optimizer: A New Bio-Inspired Algorithm for Solving Engineering Optimization Problems.” Engineering Applications of Artificial Intelligence, vol. 87, Elsevier BV, Jan. 2020, p. 103330, doi:10.1016/j.engappai.2019.103330.

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Se creó con R2014a

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Inspiración para: Enhanced Barnacle Mating optimization algorithm (EBMO)

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MLA	Sulaiman, Mohd Herwan, et al. “Barnacles Mating Optimizer: A New Bio-Inspired Algorithm for Solving Engineering Optimization Problems.” Engineering Applications of Artificial Intelligence, vol. 87, Elsevier BV, Jan. 2020, p. 103330, doi:10.1016/j.engappai.2019.103330.
APA	Sulaiman, M. H., Mustaffa, Z., Saari, M. M., & Daniyal, H. (2020). Barnacles Mating Optimizer: A new bio-inspired algorithm for solving engineering optimization problems. Engineering Applications of Artificial Intelligence, 87, 103330. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.engappai.2019.103330
BibTeX	@article{Sulaiman_2020, doi = {10.1016/j.engappai.2019.103330}, url = {https://doi.org/10.1016%2Fj.engappai.2019.103330}, year = 2020, month = {jan}, publisher = {Elsevier {BV}}, volume = {87}, pages = {103330}, author = {Mohd Herwan Sulaiman and Zuriani Mustaffa and Mohd Mawardi Saari and Hamdan Daniyal}, title = {Barnacles Mating Optimizer: A new bio-inspired algorithm for solving engineering optimization problems}, journal = {Engineering Applications of Artificial Intelligence} }