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A New Meta-heuristic Optimization Algorithm Based on the String Theory Paradigm from Physics

Af: Luis Rodriguez, Oscar Castillo Engelsk Paperback

A New Meta-heuristic Optimization Algorithm Based on the String Theory Paradigm from Physics

Af: Luis Rodriguez, Oscar Castillo Engelsk Paperback
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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.

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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.

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 71
ISBN-13: 9783030822873
Indbinding: Paperback
Udgave:
ISBN-10: 3030822877
Kategori: Partikelfysik og højenergifysik
Udg. Dato: 19 aug 2021
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 19 aug 2021
Forfatter(e): Luis Rodriguez, Oscar Castillo
Forfatter(e) Luis Rodriguez, Oscar Castillo

Kategori Partikelfysik og højenergifysik

ISBN-13 9783030822873

Sprog Engelsk

Indbinding Paperback

Sider 71

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 19 aug 2021

Oplagsdato 19 aug 2021

Forlag Springer Nature Switzerland AG

Kategori sammenhænge