HC12: Highly Scalable Optimisation Algorithm

• Radomil Matousek ^[1]
  1. [1] Brno University of Technology

     Brno University of Technology

     Chequia

     
• 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. 177-184
• Idioma: inglés
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  • Texto Completo Libro
• Resumen

  • In engineering as well as in non-engineering areas, numerous optimisation problems have to be solved using a wide range of optimisation methods. Soft-computing optimisation procedures are often applied to problems for which the classic mathematical optimisation approaches do not yield satisfactory results.In this paper we present a relatively new optimisation algorithm denoted as HC12 and demonstrate its possible parallel implementation. The paper aims to show that HC12 is highly scalable and can be implemented in a cluster of computers. As a practical consequence, the high scalability substantially reduces the computing time of optimisation problems.