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A New Meta-heuristic Optimization Algorithm Based on the String Theory Paradigm from Physics
Af: Oscar Castillo, Luis Rodriguez Engelsk Paperback
SPAR
kr 99
A New Meta-heuristic Optimization Algorithm Based on the String Theory Paradigm from Physics
Af: Oscar Castillo, Luis Rodriguez Engelsk Paperback

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.

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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.

Produktdetaljer
Sprog: Engelsk
Sider: 71
ISBN-13: 9783030822873
Indbinding: Paperback
Udgave:
ISBN-10: 3030822877
Udg. Dato: 19 aug 2021
Længde: 0mm
Bredde: 235mm
Højde: 155mm
Oplagsdato: 19 aug 2021
Forfatter(e) Oscar Castillo, Luis Rodriguez


Kategori Kvantefysik, kvantemekanik og kvantefeltteori


Sprog Engelsk


Indbinding Paperback


Sider 71


Udgave


Længde 0mm


Bredde 235mm


Højde 155mm


Udg. Dato 19 aug 2021


Oplagsdato 19 aug 2021

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