TY  - GEN
AU  - Astudillo,Leslie
AU  - Melin,Patricia
AU  - Castillo,Oscar
ED  - SpringerLink (Online service)
TI  - Chemical Optimization Algorithm for Fuzzy Controller Design
T2  - SpringerBriefs in Applied Sciences and Technology,
SN  - 9783319052458
U1  - 006.3 23
PY  - 2014///
CY  - New York
PB  - Springer
KW  - Engineering
KW  - Chemistry
KW  - Artificial intelligence
KW  - Computational Intelligence
KW  - Control
KW  - Theoretical and Computational Chemistry
KW  - Robotics and Automation
KW  - Artificial Intelligence (incl. Robotics)
N1  - Includes bibliographical references and index; Introduction -- Theory and Background -- Chemical Definitions -- The Proposed Chemical Reaction Algorithm -- Application Problems -- Simulation Results -- Conclusions; License restrictions may limit access
N2  - 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
ER  -