Presents a Chemical Optimization Algorithm for Fuzzy Controller Design
The novel algorithm is described in detail and then a set of typical complex benchmark functions is used to evaluate the performance of the algorithm
Includes an application to a 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
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.
Introduction.-
Theory and Background.-
Chemical Definitions.-
The Proposed Chemical Reaction Algorithm.-
Application Problems.-
Simulation Results.-
Conclusions.
Inhaltsverzeichnis
Introduction.-
Theory and Background.-
Chemical Definitions.-
The Proposed Chemical Reaction Algorithm.-
Application Problems.-
Simulation Results.-
Conclusions.
Klappentext
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.
Presents a Chemical Optimization Algorithm for Fuzzy Controller Design
The novel algorithm is described in detail and then a set of typical complex benchmark functions is used to evaluate the performance of the algorithm
Includes an application to a 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
Includes supplementary material: sn.pub/extras
