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In this book, a novel optimization method inspired by a paradigm from nature is introduced. The chemical reactions are used as a paradigm to propose an optimization method that simulates these natural processes. The proposed algorithm is described in detail and then a set of typical complex benchmark functions is used to evaluate the performance of the algorithm. Simulation results show that the proposed optimization algorithm can outperform other methods in a set of benchmark functions.
This chemical reaction optimization paradigm is also applied to solve the tracking problem for the dynamic model of a unicycle mobile robot by integrating a kinematic and a torque controller based on fuzzy logic theory. Computer simulations are presented confirming that this optimization paradigm is able to outperform other optimization techniques applied to this particular robot application.
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In this book, a novel optimization method inspired by a paradigm from nature is introduced. The chemical reactions are used as a paradigm to propose an optimization method that simulates these natural processes. The proposed algorithm is described in detail and then a set of typical complex benchmark functions is used to evaluate the performance of the algorithm. Simulation results show that the proposed optimization algorithm can outperform other methods in a set of benchmark functions.
This chemical reaction optimization paradigm is also applied to solve the tracking problem for the dynamic model of a unicycle mobile robot by integrating a kinematic and a torque controller based on fuzzy logic theory. Computer simulations are presented confirming that this optimization paradigm is able to outperform other optimization techniques applied to this particular robot application
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Chemical Optimization Algorithm for Fuzzy Controller Design (SpringerBriefs in Applied Sciences and Technology)
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Chemical Optimization Algorithm for Fuzzy Controller Design
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Springer International Publishing, 2014
ISBN 10: 3319052446
ISBN 13: 9783319052441
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a Chemical Optimization Algorithm for Fuzzy Controller DesignThe novel algorithm is described in detail and then a set of typical complex benchmark functions is used to evaluate the performance of the algorithmIncludes an applicati. Codice articolo 4497223
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Chemical Optimization Algorithm for Fuzzy Controller Design
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Springer International Publishing Mrz 2014, 2014
ISBN 10: 3319052446
ISBN 13: 9783319052441
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, a novel optimization method inspired by a paradigm from nature is introduced. The chemical reactions are used as a paradigm to propose an optimization method that simulates these natural processes. The proposed algorithm is described in detail and then a set of typical complex benchmark functions is used to evaluate the performance of the algorithm. Simulation results show that the proposed optimization algorithm can outperform other methods in a set of benchmark functions.This chemical reaction optimization paradigm is also applied to solve the tracking problem for the dynamic model of a unicycle mobile robot by integrating a kinematic and a torque controller based on fuzzy logic theory. Computer simulations are presented confirming that this optimization paradigm is able to outperform other optimization techniques applied to this particular robot application. 88 pp. Englisch. Codice articolo 9783319052441
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Chemical Optimization Algorithm for Fuzzy Controller Design
ISBN 10: 3319052446
ISBN 13: 9783319052441
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - In this book, a novel optimization method inspired by a paradigm from nature is introduced. The chemical reactions are used as a paradigm to propose an optimization method that simulates these natural processes. The proposed algorithm is described in detail and then a set of typical complex benchmark functions is used to evaluate the performance of the algorithm. Simulation results show that the proposed optimization algorithm can outperform other methods in a set of benchmark functions.This chemical reaction optimization paradigm is also applied to solve the tracking problem for the dynamic model of a unicycle mobile robot by integrating a kinematic and a torque controller based on fuzzy logic theory. Computer simulations are presented confirming that this optimization paradigm is able to outperform other optimization techniques applied to this particular robot application. Codice articolo 9783319052441
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Chemical Optimization Algorithm for Fuzzy Controller Design
ISBN 10: 3319052446
ISBN 13: 9783319052441
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Taschenbuch. Condizione: Neu. Neuware -In this book, a novel optimization method inspired by a paradigm from nature is introduced. The chemical reactions are used as a paradigm to propose an optimization method that simulates these natural processes. The proposed algorithm is described in detail and then a set of typical complex benchmark functions is used to evaluate the performance of the algorithm. Simulation results show that the proposed optimization algorithm can outperform other methods in a set of benchmark functions.This chemical reaction optimization paradigm is also applied to solve the tracking problem for the dynamic model of a unicycle mobile robot by integrating a kinematic and a torque controller based on fuzzy logic theory. Computer simulations are presented confirming that this optimization paradigm is able to outperform other optimization techniques applied to this particular robot application.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 88 pp. Englisch. Codice articolo 9783319052441
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Chemical Optimization Algorithm for Fuzzy Controller Design (SpringerBriefs in Applied Sciences and Technology)
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Chemical Optimization Algorithm for Fuzzy Controller Design
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Chemical Optimization Algorithm for Fuzzy Controller Design (SpringerBriefs in Applied Sciences and Technology)
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Chemical Optimization Algorithm for Fuzzy Controller Design
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