A Bumble Bees Mating Optimization Algorithmfor Global Unconstrained Optimization Problems

• Yannis Marinakis ^[1] ; Magdalene Marinaki ^[1] ; Nikolaos Matsatsinis ^[1]
  1. [1] Technical University of Crete

     Technical University of Crete

     Chania, Grecia

     
• Localización: Nature Inspired Cooperative Strategies for Optimization (NICSO 2010) / coord. por Juan R. González, David Alejandro Pelta Mochcovsky, Carlos Cruz, Germán Terrazas, Natalio Krasnogor, 2010, ISBN 978-3-642-12537-9, págs. 305-318
• Idioma: inglés
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• Resumen

  • 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 andnature 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 theproposed algorithm is achieved based on the results obtained