Astudillo, Leslie. creator Melin, Patricia. Castillo, Oscar. SpringerLink (Online service) nyu New York Springer 2014 eng 77 p. ; 24 cm. 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. by Leslie Astudillo, Patricia Melin, Oscar Castillo. Includes bibliographical references and index. License restrictions may limit access. Engineering Chemistry Artificial intelligence Engineering Computational Intelligence Control Theoretical and Computational Chemistry Robotics and Automation Artificial Intelligence (incl. Robotics) 006.3 ALC 9783319052458 9783319052441 (print) License restrictions may limit access. 140515