Andrei Utu (2 results)

Author
Refine with Advanced Search

Refine your search

  • Books (2)

  • New (2)

to

Custom price range (US$)

to

    • Language: English

      Published by LAP Lambert Academic Publishing, 2012

      3848417316 / 9783848417315

      • Softcover

      Seller: preigu, Osnabrück, Germanypreigu

      5-star seller
      Contact seller

      Condition: New

      US$ 61.05

      US$ 81.20 shipping 
      Ships from Germany to U.S.A.

      Quantity: 5 available

      Taschenbuch. Condition: Neu. Generalizations of Particle Swarm Optimization | Applications of Particle Swarm algorithms to Statistical Physics and Bioinformatics problems | Andrei B utu | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783848417315 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Language: English

      Published by LAP Lambert Academic Publishing, 2012

      3848417316 / 9783848417315

      • Softcover
      • Print on Demand

      Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

      5-star seller
      Contact seller

      Condition: New

      US$ 101.11

      US$ 35.38 shipping 
      Ships from Germany to U.S.A.

      Quantity: 2 available

      Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Particle Swarm Optimization is a modern and powerful optimization technique that has known rapid development since its introduction. During a relatively short period of time, the particle swarm paradigm metamorphosed from a small curiosity into an fully fledged field of research, with an exponentially growing number of papers published each year presenting new research directions and applications. The effervescence around the particle swarm paradigm and its applications provided the general motivation of this thesis --- to identify novel applications of the particle swarm meta-heuristic. Within this motivation, the thesis research focuses on various difficult problems encountered in Statistical Physics and Bioinformatics and investigates variations and hybrids of the Particle Swarm Optimization meta-heuristic in an attempt to improve the performance of the algorithm on these problems.