Series: SpringerBriefs in Applied Sciences and Technology/ SpringerBriefs in Computational Intelligence. Num Pages: 85 pages, 32 black & white illustrations, biography. BIC Classification: PNRP; TJFM; TJFM1; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 5. Weight in Grams: 150. . 2014. 2014th Edition. paperback. . . . .

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Bibliographic Details

Title: Chemical Optimization Algorithm for Fuzzy Controller Design
Publisher: Springer International Publishing AG
Publication Date: 2014
Language: English
ISBN 10: 3319052446
ISBN 13: 9783319052441
Binding: Soft cover
Condition: New

About this title

Synopsis

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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