TY  - GEN
TY  - GEN
T1  - Chemical Optimization Algorithm for Fuzzy Controller Design
T2  - SpringerBriefs in Computational Intelligence,
A1  - Astudillo, Leslie.
A2  - Melin, Patricia.
A2  - Castillo, Oscar.
LA  - English
PP  - Cham
PB  - Springer International Publishing : Imprint: Springer
YR  - 2014
ED  - 1st ed. 2014.
UL  - http://discoverylib.upm.edu.my/discovery/Record/978-3-319-05245-8
AB  - 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.
OP  - 77
CN  - Q342
SN  - 9783319052458
KW  - Computational intelligence.
KW  - Control engineering.
KW  - Chemistry, Physical and theoretical.
KW  - Robotics.
KW  - Automation.
KW  - Artificial intelligence.
KW  - Computational Intelligence.
KW  - Control and Systems Theory.
KW  - Theoretical and Computational Chemistry.
KW  - Robotics and Automation.
KW  - Artificial Intelligence.
ER  -