Description |
1 online resource (viii, 77 pages) : illustrations |
Series |
SpringerBriefs in applied sciences and technology. Computational intelligence, 2191-530X |
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SpringerBriefs in applied sciences and technology. Computational intelligence.
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Contents |
Theory and Background -- Chemical Definitions -- The Proposed Chemical Reaction Algorithm -- Application Problems -- Simulation Results -- Conclusions |
Summary |
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 |
Bibliography |
Includes bibliographical references and index |
Notes |
English |
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Online resource; title from PDF title page (SpringerLink, viewed March 17, 2014) |
Subject |
Computational intelligence.
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Mathematical optimization.
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Fuzzy systems.
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COMPUTERS -- General.
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Ingénierie.
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Computational intelligence
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Fuzzy systems
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Mathematical optimization
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Form |
Electronic book
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Author |
Melin, Patricia, 1962- author.
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Castillo, Oscar, 1959- author.
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ISBN |
9783319052458 |
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3319052454 |
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3319052446 |
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9783319052441 |
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