This book focuses on the fields of nature-inspired algorithms,
optimization problems and fuzzy logic. In this book, a new metaheuristic
based on String Theory from Physics is proposed. It is important to
mention that we have proposed the new algorithm to generate new
potential solutions in optimization problems in order to find new ways
that could improve the results in solving these problems. We are
presenting the results for the proposed method in different cases of
study. The first case, is optimization of traditional benchmark
mathematical functions. The second case, is the optimization of
benchmark functions of the CEC 2015 Competition and we are also
presenting results of the CEC 2017 Competition on Constrained
Real-Parameter Optimization that are problems that contain the presence
of constraints that alter the shape of the search space making them more
difficult to solve. Finally, in the third case, we are presenting the
optimization of a fuzzy inference system, specifically for finding the
optimal design of a fuzzy controller for an autonomous mobile robot. It
is important to mention that in all study cases we are presenting
statistical tests in or-der to validate the performance of proposed
method. In summary, we believe that this book will be of great interest
to a wide audience, ranging from engineering and science graduate
students, to researchers and professors in computational intelligence,
metaheuristics, optimization, robotics and control.