Astudillo, Leslie.
Chemical Optimization Algorithm for Fuzzy Controller Design [electronic resource] / by Leslie Astudillo, Patricia Melin, Oscar Castillo. - VIII, 77 p. 32 illus. online resource. - SpringerBriefs in Applied Sciences and Technology, 2191-530X . - SpringerBriefs in Applied Sciences and Technology, .
Introduction -- Theory and Background -- Chemical Definitions -- The Proposed Chemical Reaction Algorithm -- Application Problems -- Simulation Results -- Conclusions.
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.
9783319052458
10.1007/978-3-319-05245-8 doi
Engineering.
Chemistry, Physical and theoretical.
Artificial intelligence.
Computational intelligence.
Control engineering.
Robotics.
Automation.
Engineering.
Computational Intelligence.
Control.
Theoretical and Computational Chemistry.
Robotics and Automation.
Artificial Intelligence (incl. Robotics).
Q342
006.3
Chemical Optimization Algorithm for Fuzzy Controller Design [electronic resource] / by Leslie Astudillo, Patricia Melin, Oscar Castillo. - VIII, 77 p. 32 illus. online resource. - SpringerBriefs in Applied Sciences and Technology, 2191-530X . - SpringerBriefs in Applied Sciences and Technology, .
Introduction -- Theory and Background -- Chemical Definitions -- The Proposed Chemical Reaction Algorithm -- Application Problems -- Simulation Results -- Conclusions.
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.
9783319052458
10.1007/978-3-319-05245-8 doi
Engineering.
Chemistry, Physical and theoretical.
Artificial intelligence.
Computational intelligence.
Control engineering.
Robotics.
Automation.
Engineering.
Computational Intelligence.
Control.
Theoretical and Computational Chemistry.
Robotics and Automation.
Artificial Intelligence (incl. Robotics).
Q342
006.3