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Record Nr. |
UNINA9910299488103321 |
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Autore |
Astudillo Leslie |
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Titolo |
Chemical Optimization Algorithm for Fuzzy Controller Design [[electronic resource] /] / by Leslie Astudillo, Patricia Melin, Oscar Castillo |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (81 p.) |
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Collana |
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SpringerBriefs in Computational Intelligence, , 2625-3704 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Control engineering |
Chemistry, Physical and theoretical |
Robotics |
Automation |
Artificial intelligence |
Computational Intelligence |
Control and Systems Theory |
Theoretical and Computational Chemistry |
Robotics and Automation |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and index. |
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Nota di contenuto |
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Introduction -- Theory and Background -- Chemical Definitions -- The Proposed Chemical Reaction Algorithm -- Application Problems -- Simulation Results -- Conclusions. |
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Sommario/riassunto |
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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 |
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