Algoritmos Geneticos Con Python

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Algoritmos Genéticos con Python

Author : Daniel Gutiérrez Reina
Publisher : Marcombo
ISBN 13 : 842673068X
Total Pages : 297 pages
Book Rating : 4.4/5 (267 download)

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Book Synopsis Algoritmos Genéticos con Python by : Daniel Gutiérrez Reina

Download or read book Algoritmos Genéticos con Python written by Daniel Gutiérrez Reina and published by Marcombo. This book was released on 2020-08-03 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Desde su aparición en la década de los 60, los algoritmos genéticos han ido ganando popularidad, gracias al frenético crecimiento de la capacidad computacional en los últimos años. Finalmente se han abierto camino en el ámbito de la ingeniería como una de las herramientas más prometedoras para resolver problemas de gran complejidad, inabordables desde los enfoques clásicos de la ingeniería. Los algoritmos genéticos son estrategias de resolución de problemas de optimización basados en la teoría de la selección natural de Darwin, mediante la cual aquellos individuos más aptos para sobrevivir tienen una mayor probabilidad de crear descendencia y transmitir su información genética. Partiendo de esta base, son muchas las propuestas que se han desarrollado para abordar una gran cantidad de problemas de diferentes áreas de la ingeniería. En este libro le proponemos adentrarte en el mundo de los algoritmos genéticos utilizando Python, uno de los lenguajes de programación más populares en la actualidad y con más crecimiento durante los últimos años. Los contenidos del libro se han diseñado para que sean sencillos, concisos y fáciles de implementar, con ejemplos directos de aplicación para que pueda practicar desde la primera página. Con este libro aprenderá a: - Entender la naturaleza y el funcionamiento de los algoritmos genéticos, comprendiendo las diferentes operaciones y procesos que lo componen. - Conocer las diferentes implementaciones de los algoritmos genéticos de mayor relevancia, así como identificar las ventajas e inconvenientes de cada uno para determinar su potencial para resolver un determinado problema. - Conocer a fondo y utilizar los diferentes operadores (selección, mutación y cruce) que la librería deap pone a su disposición. - Desarrollar un algoritmo genético desde cero en Python y utilizarlo para resolver sus propios problemas de ingeniería. - Conocer y estudiar aplicaciones de relevancia de algoritmos genéticos en el ámbito de la ingeniería, tales como la gestión del despacho económico, el diseño de plantas hidroeléctricas o la disposición de sensores inalámbricos.

Algoritmos genéticos con Python

Author : Daniel Gutiérrez Reina
Publisher :
ISBN 13 : 9788426729859
Total Pages : pages
Book Rating : 4.7/5 (298 download)

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Book Synopsis Algoritmos genéticos con Python by : Daniel Gutiérrez Reina

Download or read book Algoritmos genéticos con Python written by Daniel Gutiérrez Reina and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Genetic Algorithms with Python

Author : Clinton Sheppard
Publisher :
ISBN 13 : 9781732029804
Total Pages : 532 pages
Book Rating : 4.0/5 (298 download)

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Book Synopsis Genetic Algorithms with Python by : Clinton Sheppard

Download or read book Genetic Algorithms with Python written by Clinton Sheppard and published by . This book was released on 2018-02-11 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get a hands-on introduction to machine learning with genetic algorithms using Python. Genetic algorithms are one of the tools you can use to apply machine learning to finding good, sometimes even optimal, solutions to problems that have billions of potential solutions. This book gives you experience making genetic algorithms work for you, using easy-to-follow example projects that you can fall back upon when learning to use other machine learning tools and techniques. The step-by-step tutorials build your skills from Hello World! to optimizing one genetic algorithm with another, and finally genetic programming; thus preparing you to apply genetic algorithms to problems in your own field of expertise. Python is a high-level, low ceremony and powerful language whose code can be easily understood even by entry-level programmers. If you have experience with another programming language then you should have no difficulty learning Python by induction. Souce code: https: //github.com/handcraftsman/GeneticAlgorithmsWithPython

Hands-On Genetic Algorithms with Python

Author : Eyal Wirsansky
Publisher : Packt Publishing Ltd
ISBN 13 : 1838559183
Total Pages : 334 pages
Book Rating : 4.8/5 (385 download)

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Book Synopsis Hands-On Genetic Algorithms with Python by : Eyal Wirsansky

Download or read book Hands-On Genetic Algorithms with Python written by Eyal Wirsansky and published by Packt Publishing Ltd. This book was released on 2020-01-31 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning models using Python libraries such as DEAP, scikit-learn, and NumPy Key Features Explore the ins and outs of genetic algorithms with this fast-paced guide Implement tasks such as feature selection, search optimization, and cluster analysis using Python Solve combinatorial problems, optimize functions, and enhance the performance of artificial intelligence applications Book DescriptionGenetic algorithms are a family of search, optimization, and learning algorithms inspired by the principles of natural evolution. By imitating the evolutionary process, genetic algorithms can overcome hurdles encountered in traditional search algorithms and provide high-quality solutions for a variety of problems. This book will help you get to grips with a powerful yet simple approach to applying genetic algorithms to a wide range of tasks using Python, covering the latest developments in artificial intelligence. After introducing you to genetic algorithms and their principles of operation, you'll understand how they differ from traditional algorithms and what types of problems they can solve. You'll then discover how they can be applied to search and optimization problems, such as planning, scheduling, gaming, and analytics. As you advance, you'll also learn how to use genetic algorithms to improve your machine learning and deep learning models, solve reinforcement learning tasks, and perform image reconstruction. Finally, you'll cover several related technologies that can open up new possibilities for future applications. By the end of this book, you'll have hands-on experience of applying genetic algorithms in artificial intelligence as well as in numerous other domains.What you will learn Understand how to use state-of-the-art Python tools to create genetic algorithm-based applications Use genetic algorithms to optimize functions and solve planning and scheduling problems Enhance the performance of machine learning models and optimize deep learning network architecture Apply genetic algorithms to reinforcement learning tasks using OpenAI Gym Explore how images can be reconstructed using a set of semi-transparent shapes Discover other bio-inspired techniques, such as genetic programming and particle swarm optimization Who this book is for This book is for software developers, data scientists, and AI enthusiasts who want to use genetic algorithms to carry out intelligent tasks in their applications. Working knowledge of Python and basic knowledge of mathematics and computer science will help you get the most out of this book.

Practical Genetic Algorithms

Author : Randy L. Haupt
Publisher : John Wiley & Sons
ISBN 13 : 0471671754
Total Pages : 273 pages
Book Rating : 4.4/5 (716 download)

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Book Synopsis Practical Genetic Algorithms by : Randy L. Haupt

Download or read book Practical Genetic Algorithms written by Randy L. Haupt and published by John Wiley & Sons. This book was released on 2004-07-30 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: * This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science * Most significant update to the second edition is the MATLAB codes that accompany the text * Provides a thorough discussion of hybrid genetic algorithms * Features more examples than first edition

Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation

Author : Cengiz Kahraman
Publisher : Springer Nature
ISBN 13 : 3030856267
Total Pages : 954 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation by : Cengiz Kahraman

Download or read book Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation written by Cengiz Kahraman and published by Springer Nature. This book was released on 2021-08-23 with total page 954 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent research in intelligent and fuzzy techniques. Emerging conditions such as pandemic, wars, natural disasters and various high technologies force people for significant changes in business and social life. The adoption of digital technologies to transform services or businesses, through replacing non-digital or manual processes with digital processes or replacing older digital technology with newer digital technologies through intelligent systems is the main scope of this book. It focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent and fuzzy systems. The latest intelligent and fuzzy methods and techniques on digital transformation are introduced by theory and applications. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc. and Ph.D. students studying digital transformation. Usage of ordinary fuzzy sets and their extensions, heuristics and metaheuristics from optimization to machine learning, from quality management to risk management makes the book an excellent source for researchers.

Beginning Artificial Intelligence with the Raspberry Pi

Author : Donald J. Norris
Publisher : Apress
ISBN 13 : 1484227433
Total Pages : 379 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Beginning Artificial Intelligence with the Raspberry Pi by : Donald J. Norris

Download or read book Beginning Artificial Intelligence with the Raspberry Pi written by Donald J. Norris and published by Apress. This book was released on 2017-06-05 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain a gentle introduction to the world of Artificial Intelligence (AI) using the Raspberry Pi as the computing platform. Most of the major AI topics will be explored, including expert systems, machine learning both shallow and deep, fuzzy logic control, and more! AI in action will be demonstrated using the Python language on the Raspberry Pi. The Prolog language will also be introduced and used to demonstrate fundamental AI concepts. In addition, the Wolfram language will be used as part of the deep machine learning demonstrations. A series of projects will walk you through how to implement AI concepts with the Raspberry Pi. Minimal expense is needed for the projects as only a few sensors and actuators will be required. Beginners and hobbyists can jump right in to creating AI projects with the Raspberry PI using this book. What You'll Learn What AI is and—as importantly—what it is not Inference and expert systems Machine learning both shallow and deep Fuzzy logic and how to apply to an actual control system When AI might be appropriate to include in a system Constraints and limitations of the Raspberry Pi AI implementation Who This Book Is For Hobbyists, makers, engineers involved in designing autonomous systems and wanting to gain an education in fundamental AI concepts, and non-technical readers who want to understand what AI is and how it might affect their lives.

An Introduction to Genetic Algorithms

Author : Melanie Mitchell
Publisher : MIT Press
ISBN 13 : 9780262631853
Total Pages : 226 pages
Book Rating : 4.6/5 (318 download)

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Book Synopsis An Introduction to Genetic Algorithms by : Melanie Mitchell

Download or read book An Introduction to Genetic Algorithms written by Melanie Mitchell and published by MIT Press. This book was released on 1998-03-02 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics—particularly in machine learning, scientific modeling, and artificial life—and reviews a broad span of research, including the work of Mitchell and her colleagues. The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting "general purpose" nature of genetic algorithms as search methods that can be employed across disciplines. An Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text. The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation.

Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022)

Author : José Bravo
Publisher : Springer Nature
ISBN 13 : 3031213335
Total Pages : 1140 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022) by : José Bravo

Download or read book Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022) written by José Bravo and published by Springer Nature. This book was released on 2022-11-20 with total page 1140 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports a set of novel research initiatives on ambient intelligence and ubiquitous computing that help researchers and practitioners identify recent advances, as well as the frontiers in these study domains. During the last two decades, both study areas have gained great interest in industry and academia due to the benefits of using smart solutions in various application domains, such as health care, ambient-assisted living, personal security and privacy, citizen participation, provision of urban services, and precision agriculture and farming. The articles included in this book report solutions and provide empirical results on their suitability to address problems and opportunities in these application domains. The articles also include discussions on how the proposals and their evaluation results inform the design of the next generation of ubiquitous and smart systems. Researchers, practitioners, and graduate students take advantage of this knowledge to address innovation and engineering aspects of smart and ubiquitous solutions for the next decade.

Latest Advances in Electrical Engineering, and Electronics

Author : Miguel Botto-Tobar
Publisher : Springer Nature
ISBN 13 : 3031089421
Total Pages : 253 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Latest Advances in Electrical Engineering, and Electronics by : Miguel Botto-Tobar

Download or read book Latest Advances in Electrical Engineering, and Electronics written by Miguel Botto-Tobar and published by Springer Nature. This book was released on 2022-07-14 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the XXX Conference on Electrical and Electronic Engineering (JIEE 2021), held in Quito, Ecuador, on December 15 – 17, 2021, proudly organized by Facultad de Ingeniería Eléctrica y Electrónica in Escuela Politécnica Nacional in collaboration with GDEON. JIEE is an international event that allows educators, students and researchers from universities and polytechnic schools to present their academic and professional work. It provides an opportunity to discuss and exchange ideas on issues, trends, and developments in the related fields of electrical, telecommunications, information networks, automation, industry, and electronics. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: • Industrial Control and Automation • Power Systems • Information Networks

45+ Ejercicios de Algoritmos Genéticos en Python

Author : Reinventors Republic
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (334 download)

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Book Synopsis 45+ Ejercicios de Algoritmos Genéticos en Python by : Reinventors Republic

Download or read book 45+ Ejercicios de Algoritmos Genéticos en Python written by Reinventors Republic and published by Independently Published. This book was released on 2024-07-18 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Los algoritmos genéticos son una poderosa herramienta en el campo de la inteligencia artificial y la optimización. Inspirados en los principios de la evolución natural, los algoritmos genéticos imitan el proceso de selección natural para resolver problemas complejos de optimización, búsqueda y aprendizaje automático. Estos algoritmos son ampliamente utilizados en una variedad de industrias, desde la ingeniería y la robótica hasta la biología y la economía. Este libro, "70 Ejercicios para Aprender Algoritmos Genéticos", está diseñado para proporcionar a los lectores una comprensión práctica y profunda de los algoritmos genéticos a través de una serie de ejercicios que abarcan una amplia gama de aplicaciones. Cada ejercicio está diseñado para desafiar y fortalecer las habilidades de programación y comprensión de los conceptos fundamentales de los algoritmos genéticos. A lo largo de este libro, los lectores se sumergirán en ejercicios que cubren desde los fundamentos básicos hasta aplicaciones avanzadas de los algoritmos genéticos. Desde la optimización de funciones matemáticas hasta la creación de redes neuronales y la resolución de problemas de diseño, estos ejercicios proporcionarán una base sólida para comprender y aplicar los algoritmos genéticos en una variedad de contextos.

ALGORITMOS GENÉTICOS en Python y Java

Author : Maritza PALACIOS MEDINA
Publisher :
ISBN 13 :
Total Pages : 440 pages
Book Rating : 4.6/5 (355 download)

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Book Synopsis ALGORITMOS GENÉTICOS en Python y Java by : Maritza PALACIOS MEDINA

Download or read book ALGORITMOS GENÉTICOS en Python y Java written by Maritza PALACIOS MEDINA and published by . This book was released on 2020-04-09 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Este libro le garantiza que usted puede crear sus propios Algoritmos Genéticos (AG), desde cero. Con su propio código fuente o por medio de la utilización de frameworks y librerías para dicho fin. Con la debida dedicación y esfuerzo necesario, podrá guiarse con el código fuente de los ejemplos escritos en los lenguajes de programación Python y Java. Del mismo modo, el código fuente puede reescribirse fácilmente para otros lenguajes de programación como JavaScript, C# e incluso Php. Para escribir el código fuente de los ejemplo no se requiere ninguna librería adicional, ¡es código fuente sencillo, muy sencillo!En este sentido, el libro es el resultado de años de experiencia en el campo académico e investigativo, aplicando las técnicas del aprendizaje supervisado de máquina (Machine Learning).En su desarrollo , el libro contiene ejemplos resueltos con Algoritmos Genéticos y bien explicados sobre: Máximo u óptimos locales, el problema de las 8 reinas solucionado de dos formas diferentes, encontrar raíces en una función real, juego de 8 puzzle u ocho placas, problema del Agente viajero, el problema de la Mochila, descifrar palabras y claves, el reto One Max, un programa y animación en Android para Buscar Coordenadas colocados por medio del Mouse, Resolver un sistema de ecuaciones, El cuadrado mágico, sugerencias de Frameworks y librerías(bibliotecas) de código abierto, y un apartado especial de criaturas que aprenden a caminar utilizando Algoritmos Genéticos.Los planteamientos desarrollados en este libro van dirigidos a nivel de comprensión para profesionales de la ingeniería, estudiantes, empresarios, directores de proyectos, docentes y aquellos que necesiten o deseen incursionar en la inteligencia artificial, especialmente con Algoritmos Genéticos.Igualmente, si lo prefiere, se describen algunas librerías y Frameworks que se pueden utilizar para crear proyectos con Algoritmos Genéticos. Algunos Frameworks pertenecen a licencias de código fuente Open Source. Pero el principal objetivo del libro es guiarlo(a) en el proceso desde cero. ¡Entonces, manos a la obra!

Genetic Algorithms in Search, Optimization, and Machine Learning

Author : David Edward Goldberg
Publisher : Addison-Wesley Professional
ISBN 13 :
Total Pages : 436 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Genetic Algorithms in Search, Optimization, and Machine Learning by : David Edward Goldberg

Download or read book Genetic Algorithms in Search, Optimization, and Machine Learning written by David Edward Goldberg and published by Addison-Wesley Professional. This book was released on 1989 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: A gentle introduction to genetic algorithms. Genetic algorithms revisited: mathematical foundations. Computer implementation of a genetic algorithm. Some applications of genetic algorithms. Advanced operators and techniques in genetic search. Introduction to genetics-based machine learning. Applications of genetics-based machine learning. A look back, a glance ahead. A review of combinatorics and elementary probability. Pascal with random number generation for fortran, basic, and cobol programmers. A simple genetic algorithm (SGA) in pascal. A simple classifier system(SCS) in pascal. Partition coefficient transforms for problem-coding analysis.

Introduction to Genetic Algorithms

Author : S.N. Sivanandam
Publisher : Springer Science & Business Media
ISBN 13 : 3540731903
Total Pages : 453 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Introduction to Genetic Algorithms by : S.N. Sivanandam

Download or read book Introduction to Genetic Algorithms written by S.N. Sivanandam and published by Springer Science & Business Media. This book was released on 2007-10-24 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a basic introduction to genetic algorithms. It provides a detailed explanation of genetic algorithm concepts and examines numerous genetic algorithm optimization problems. In addition, the book presents implementation of optimization problems using C and C++ as well as simulated solutions for genetic algorithm problems using MATLAB 7.0. It also includes application case studies on genetic algorithms in emerging fields.

Practical Computer Vision Applications Using Deep Learning with CNNs

Author : Ahmed Fawzy Gad
Publisher : Apress
ISBN 13 : 1484241673
Total Pages : 421 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Practical Computer Vision Applications Using Deep Learning with CNNs by : Ahmed Fawzy Gad

Download or read book Practical Computer Vision Applications Using Deep Learning with CNNs written by Ahmed Fawzy Gad and published by Apress. This book was released on 2018-12-05 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the way you will cover artificial neural networks (ANNs), building one from scratch in Python, before optimizing it using genetic algorithms. For automating the process, the book highlights the limitations of traditional hand-crafted features for computer vision and why the CNN deep-learning model is the state-of-art solution. CNNs are discussed from scratch to demonstrate how they are different and more efficient than the fully connected ANN (FCNN). You will implement a CNN in Python to give you a full understanding of the model. After consolidating the basics, you will use TensorFlow to build a practical image-recognition model that you will deploy to a web server using Flask, making it accessible over the Internet. Using Kivy and NumPy, you will create cross-platform data science applications with low overheads. This book will help you apply deep learning and computer vision concepts from scratch, step-by-step from conception to production. What You Will Learn Understand how ANNs and CNNs work Create computer vision applications and CNNs from scratch using PythonFollow a deep learning project from conception to production using TensorFlowUse NumPy with Kivy to build cross-platform data science applications Who This Book Is ForData scientists, machine learning and deep learning engineers, software developers.

Optimization

Author : Rajesh Kumar Arora
Publisher : CRC Press
ISBN 13 : 149872115X
Total Pages : 454 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Optimization by : Rajesh Kumar Arora

Download or read book Optimization written by Rajesh Kumar Arora and published by CRC Press. This book was released on 2015-05-06 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Choose the Correct Solution Method for Your Optimization ProblemOptimization: Algorithms and Applications presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs. The book covers both gradient and stochastic methods as solution techniques for unconstrained and co

Technological and Industrial Applications Associated With Industry 4.0

Author : Alberto Ochoa-Zezzatti
Publisher : Springer Nature
ISBN 13 : 3030686639
Total Pages : 340 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Technological and Industrial Applications Associated With Industry 4.0 by : Alberto Ochoa-Zezzatti

Download or read book Technological and Industrial Applications Associated With Industry 4.0 written by Alberto Ochoa-Zezzatti and published by Springer Nature. This book was released on 2021-07-01 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes chapters related to the analysis of cultural differences as a tool to enrich tacit knowledge and make processes more efficient, the factors that influence job satisfaction and the value of social capital as a competitive strategy to achieve productivity and competitiveness of organizations, in addition to research of the utmost importance to discover the facets of the diamond with respect to the symbolic capital of the organizations where Generation Z will work and how it will discover the best time to establish an innovation ecosystem that will influence its work trajectory. Industry 4.0 requires a major paradigm shift, since human capital is a source of competitive advantage. Being competitive enables to a company, a region, a society or a country the power to advance in different areas, contributing to the benefit of a social group, therefore, and organizations need to make efforts that lead to adding value and generate a competitive advantage. Industrial applications based on artificial intelligence can change our lives in just one generation. The chapters in this book show progress and challenges related to real-world applications, as well as the need to strengthen human capital to achieve systemic and comprehensive competitiveness required in the XXI century.