Language: English
Published by Institute of Physics Publishing, 1984
ISBN 10: 0905945093 ISBN 13: 9780905945095
Seller: Antiquariat Bernhardt, Kassel, Germany
Karton Karton. Condition: Sehr gut. 316 Seiten Zust: Gutes Exemplar. Mit original Schutzumschlag. Schneller Versand und persönlicher Service - jedes Buch händisch geprüft und beschrieben - aus unserem Familienbetrieb seit über 25 Jahren. Eine Rechnung mit ausgewiesener Mehrwertsteuer liegt jeder unserer Lieferungen bei. Wir versenden mit der deutschen Post. Sprache: Englisch Gewicht in Gramm: 1040.
Language: English
Published by Imperial College Press, London, 2006
ISBN 10: 1860946496 ISBN 13: 9781860946493
Seller: PsychoBabel & Skoob Books, Didcot, United Kingdom
Hardcover. Condition: Very Good. Dust Jacket Condition: No Dust Jacket. Hardcover without jacket in very good condition - slight wear on rear lower edge; spine foot is a little bumped. Pages are clean and sound throughout. TS. Used.
Language: English
Published by LAP Lambert Academic Publishing, 2012
ISBN 10: 3848417316 ISBN 13: 9783848417315
Seller: preigu, Osnabrück, Germany
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 Imperial College Press, 2006
ISBN 10: 1860946496 ISBN 13: 9781860946493
Seller: Mispah books, Redhill, SURRE, United Kingdom
Hardcover. Condition: Very Good. Very Good. Dust Jacket may NOT BE INCLUDED.CDs may be missing. SHIPS FROM MULTIPLE LOCATIONS. book.
Language: English
Published by LAP Lambert Academic Publishing, 2012
ISBN 10: 3848417316 ISBN 13: 9783848417315
Seller: AHA-BUCH GmbH, Einbeck, Germany
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.