URI | http://purl.tuc.gr/dl/dias/65E8F3E9-92B4-4790-9972-926EB6E5ED7F | - |
Identifier | https://doi.org/10.1007/978-3-642-12538-6_26 | - |
Language | en | - |
Title | A bumble bees mating optimization algorithm for global unconstrained optimization problems | en |
Creator | Marinakis Ioannis | en |
Creator | Μαρινακης Ιωαννης | el |
Creator | Matsatsinis Nikolaos | en |
Creator | Ματσατσινης Νικολαος | el |
Creator | Marinaki Magdalini | en |
Creator | Μαρινακη Μαγδαληνη | el |
Publisher | Springer Verlag | en |
Content Summary | A new nature inspired algorithm, that simulates the mating behavior of the bumble bees, the Bumble Bees Mating Optimization (BBMO) algorithm, is presented in this paper for solving global unconstrained optimization problems. The performance of the algorithm is compared with other popular metaheuristic and nature inspired methods when applied to the most classic global unconstrained optimization problems. The methods used for comparisons are Genetic Algorithms, Island Genetic Algorithms, Differential Evolution, Particle Swarm Optimization, and the Honey Bees Mating Optimization algorithm. A high performance of the proposed algorithm is achieved based on the results obtained. | en |
Type of Item | Περίληψη Δημοσίευσης σε Συνέδριο | el |
Type of Item | Conference Paper Abstract | en |
License | http://creativecommons.org/licenses/by/4.0/ | en |
Date of Item | 2015-10-28 | - |
Date of Publication | 2010 | - |
Bibliographic Citation | Y. Marinakis, M. Marinaki and N. Matsatsinis, “A Bumble bees mating optimization algorithm for global unconstrained optimization problems”, in Nature Inspired Cooperative Strategies for Optimization, Studies in Computational Intelligence, 2010, pp. 305-318. doi: 10.1007/978-3-642-12538-6_26 | en |