Daniel Zaldívar – författare

This book explores new alternative metaheuristic developments that have proved to be effective in their application to several complex problems.

Recently, novel metaheuristic techniques have emerged in response to the limitations of conventional approaches, leading to enhanced outcomes. Similarly, engineering practitioners unfamiliar with metaheuristic computation concepts will recognize the pragmatic value of the discussed techniques.

Recently, novel metaheuristic techniques have emerged in response to the limitations of conventional approaches, leading to enhanced outcomes. Similarly, engineering practitioners unfamiliar with metaheuristic computation concepts will recognize the pragmatic value of the discussed techniques.

This textbook provides readers with the knowledge and practical skills necessary to understand, design, and construct their own functional DC motors using 3D printing technology.

This textbook provides readers with the knowledge and practical skills necessary to understand, design, and construct their own functional DC motors using 3D printing technology. The authors provide a clear and accessible introduction to the fundamental concepts of DC motors, explaining how they work, their different types, and their applications in a way that is easy for readers with limited technical background to understand. The book bridges the gap between theoretical knowledge and practical application, so that readers see how theoretical concepts translate into real devices. The authors guide readers through the process of building their own DC motors, using 3D printing technology. Readers can gain hands-on experience creating functional devices, using the step-by-step instructions, illustrations, and diagrams. The authors’ focus on 3D printing enables readers to explore the field of customization, so they can adapt motor designs to fit their specific needs, whether for a project, a prototype, or an application.

This book presents the use of efficientEvolutionary Computation (EC) algorithms for solving diverse real-world imageprocessing and pattern recognition problems. It provides an overview of thedifferent aspects of evolutionary methods in order to enable the reader inreaching a global understanding of the field and, in conducting studies onspecific evolutionary techniques that are related to applications in imageprocessing and pattern recognition. It explains the basic ideas of the proposedapplications in a way that can also be understood by readers outside of thefield. Image processing and pattern recognition practitioners who are notevolutionary computation researchers will appreciate the discussed techniquesbeyond simple theoretical tools since they have been adapted to solvesignificant problems that commonly arise on such areas. On the other hand,members of the evolutionary computation community can learn the way in whichimage processing and pattern recognition problems can be translated into anoptimization task. The book has been structured so that each chapter can beread independently from the others. It can serve as reference book for studentsand researchers with basic knowledge in image processing and EC methods.

This book presents the use of efficientEvolutionary Computation (EC) algorithms for solving diverse real-world imageprocessing and pattern recognition problems.