Swarm Intelligence Evolutionary Computing by Manne Janga (9 results)

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    • Language: English

      Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2009

      3838302206 / 9783838302201

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      Condition: New. pp. 284.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2009

      3838302206 / 9783838302201

      • Softcover

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      Taschenbuch. Condition: Neu. Swarm Intelligence and Evolutionary Computing | for Single and Multi-objective Optimization in Water Resource Systems | Janga Reddy Manne | Taschenbuch | 284 S. | Englisch | 2009 | LAP LAMBERT Academic Publishing | EAN 9783838302201 | 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, 2009

      3838302206 / 9783838302201

      • Softcover

      Seller: Mispah books, Redhill, SURRE, United KingdomMispah books

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    • Language: English

      Published by LAP LAMBERT Academic Publishing Jun 2009, 2009

      3838302206 / 9783838302201

      • Softcover
      • Print on Demand

      Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Traditional optimization methods are no longer adequate to solve complex real life problems, as most of them involve nonlinear, discontinuous, non- differentiable, nonconvex, multiobjective functions with mixed variables in their model formulation. Over the last few years, the use of nature inspired meta-heuristic algorithms for systems optimization has increased tremendously, and 'swarm intelligence and evolutionary computing techniques' are rapidly emerging as powerful tools for solving practical problems. This book describes efficient computational techniques based on Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Differential Evolution (DE) principles for single and multiple criterion optimization; and hybrid soft-computing techniques such as PSO Neural Network (PSO-NN), Adaptive Network Fuzzy Inference System (ANFIS) for hydrologic forecasting and demonstrates their applications to case studies in reservoir systems operation. This book is intended for people who are willing to learn new technology to solve complex real life problems and especially useful to professional in water resources field. 284 pp. Englisch.

    • Language: English

      Published by LAP Lambert Academic Publishing, 2009

      3838302206 / 9783838302201

      • Softcover
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      Seller: moluna, Greven, Germanymoluna

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      Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Traditional optimization methods are no longer adequate to solve complex real life problems, as most of them involve nonlinear, discontinuous, non- differentiable, nonconvex, multiobjective functions with mixed variables in their model formulation. Over the.

    • Language: English

      Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2009

      3838302206 / 9783838302201

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      Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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      Condition: New. Print on Demand pp. 284 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

    • Language: English

      Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2009

      3838302206 / 9783838302201

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      Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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      Condition: New. PRINT ON DEMAND pp. 284.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Jun 2009, 2009

      3838302206 / 9783838302201

      • Softcover
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      Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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      Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Traditional optimization methods are no longer adequate to solve complex real life problems, as most of them involve nonlinear, discontinuous, non- differentiable, nonconvex, multiobjective functions with mixed variables in their model formulation. Over the last few years, the use of nature inspired meta-heuristic algorithms for systems optimization has increased tremendously, and 'swarm intelligence and evolutionary computing techniques' are rapidly emerging as powerful tools for solving practical problems. This book describes efficient computational techniques based on Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Differential Evolution (DE) principles for single and multiple criterion optimization; and hybrid soft-computing techniques such as PSO Neural Network (PSO-NN), Adaptive Network Fuzzy Inference System (ANFIS) for hydrologic forecasting and demonstrates their applications to case studies in reservoir systems operation. This book is intended for people who are willing to learn new technology to solve complex real life problems and especially useful to professional in water resources field.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 284 pp. Englisch.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2009

      3838302206 / 9783838302201

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

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      Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Traditional optimization methods are no longer adequate to solve complex real life problems, as most of them involve nonlinear, discontinuous, non- differentiable, nonconvex, multiobjective functions with mixed variables in their model formulation. Over the last few years, the use of nature inspired meta-heuristic algorithms for systems optimization has increased tremendously, and 'swarm intelligence and evolutionary computing techniques' are rapidly emerging as powerful tools for solving practical problems. This book describes efficient computational techniques based on Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Differential Evolution (DE) principles for single and multiple criterion optimization; and hybrid soft-computing techniques such as PSO Neural Network (PSO-NN), Adaptive Network Fuzzy Inference System (ANFIS) for hydrologic forecasting and demonstrates their applications to case studies in reservoir systems operation. This book is intended for people who are willing to learn new technology to solve complex real life problems and especially useful to professional in water resources field.