Inteligencia De Enjambre PDF Download

Author: Fouad Sabry
Publisher: One Billion Knowledgeable
ISBN:
Category : Technology & Engineering
Languages : es
Pages : 549

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Book Description
Qué es la inteligencia de enjambre El comportamiento colectivo de los sistemas descentralizados y autoorganizados, ya sean naturales o artificiales, es lo que se conoce como inteligencia de enjambre (SI). La idea se utiliza en investigaciones que se están realizando sobre inteligencia artificial. En 1989, Gerardo Beni y Jing Wang fueron los primeros en utilizar la frase "sistemas robóticos celulares" en relación con sus respectivos campos de estudio. Cómo se beneficiará (I) Insights y validaciones sobre los siguientes temas: Capítulo 1: Inteligencia de enjambre Capítulo 2: Algoritmo genético Capítulo 3: Recocido simulado Capítulo 4: Algoritmo evolutivo Capítulo 5: Comportamiento de enjambre Capítulo 6: Computación evolutiva Capítulo 7: Partícula Optimización de enjambres Capítulo 8: Boids Capítulo 9: Algoritmos de optimización de colonias de hormigas Capítulo 10: Metaheurística Capítulo 11: Marco Dorigo Capítulo 12: Búsqueda de difusión estocástica Capítulo 13: Algoritmo cultural Capítulo 14: Metaheurística paralela Capítulo 15: Hiperheurística Capítulo 16: Robótica de hormigas Capítulo 17: Búsqueda cuckoo Capítulo 18: Metaoptimización Capítulo 19: Glosario de artificial inteligencia Capítulo 20: L ista de metaheurísticas basadas en metáforas Capítulo 21: Tabla de metaheurísticas (II) Respondiendo a las principales preguntas del público sobre inteligencia de enjambre. (III) Mundo real ejemplos para el uso de la inteligencia de enjambre en muchos campos. (IV) 17 apéndices para explicar, brevemente, 266 tecnologías emergentes en cada industria para tener una comprensión completa de 360 ​​grados de las tecnologías de inteligencia de enjambre. Para quién es este libro Profesionales, estudiantes de pregrado y posgrado, entusiastas, aficionados y aquellos que quieren ir más allá del conocimiento básico o la información para cualquier tipo de enjambre inteligencia.

Author: Fouad Sabry
Publisher:
ISBN:
Category :
Languages : es
Pages : 0

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Book Description
Qu? es la inteligencia de enjambre El comportamiento colectivo de los sistemas descentralizados y autoorganizados, ya sean naturales o artificiales, es lo que se conoce como inteligencia de enjambre (SI). La idea se utiliza en investigaciones que se est?n realizando sobre inteligencia artificial. En 1989, Gerardo Beni y Jing Wang fueron los primeros en utilizar la frase "sistemas rob?ticos celulares" en relaci?n con sus respectivos campos de estudio. C?mo se beneficiar? (I) Insights y validaciones sobre los siguientes temas: Cap?tulo 1: Inteligencia de enjambre Cap?tulo 2: Algoritmo gen?tico Cap?tulo 3: Recocido simulado Cap?tulo 4: Algoritmo evolutivo Cap?tulo 5: Comportamiento de enjambre Cap?tulo 6: Computaci?n evolutiva Cap?tulo 7: Part?cula Optimizaci?n de enjambres Cap?tulo 8: Boids Cap?tulo 9: Algoritmos de optimizaci?n de colonias de hormigas Cap?tulo 10: Metaheur?stica Cap?tulo 11: Marco Dorigo Cap?tulo 12: B?squeda de difusi?n estoc?stica Cap?tulo 13: Algoritmo cultural Cap?tulo 14: Metaheur?stica paralela Cap?tulo 15: Hiperheur?stica Cap?tulo 16: Rob?tica de hormigas Cap?tulo 17: B?squeda cuckoo Cap?tulo 18: Metaoptimizaci?n Cap?tulo 19: Glosario de artificial inteligencia Cap?tulo 20: L ista de metaheur?sticas basadas en met?foras Cap?tulo 21: Tabla de metaheur?sticas (II) Respondiendo a las principales preguntas del p?blico sobre inteligencia de enjambre. (III) Mundo real ejemplos para el uso de la inteligencia de enjambre en muchos campos. (IV) 17 ap?ndices para explicar, brevemente, 266 tecnolog?as emergentes en cada industria para tener una comprensi?n completa de 360 ??grados de las tecnolog?as de inteligencia de enjambre. Para qui?n es este libro Profesionales, estudiantes de pregrado y posgrado, entusiastas, aficionados y aquellos que quieren ir m?s all? del conocimiento b?sico o la informaci?n para cualquier tipo de enjambre inteligencia.

Author: Eric Bonabeau
Publisher: Oxford University Press
ISBN: 9780195131598
Category : Computers
Languages : en
Pages : 324

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Book Description
In particular, these designs are an exciting approach to the tremendous growth of complexity in software and information. Swarm Intelligence draws on up-to-date research from biology, neuroscience, artificial intelligence, robotics, operations research, and computer graphics, and each chapter is organized around a particular biological example, which is then used to develop an algorithm, a multiagent system, or a group of robots.

Author: Felix Chan
Publisher: BoD – Books on Demand
ISBN: 3902613092
Category : Computers
Languages : en
Pages : 550

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Book Description
In the era globalisation the emerging technologies are governing engineering industries to a multifaceted state. The escalating complexity has demanded researchers to find the possible ways of easing the solution of the problems. This has motivated the researchers to grasp ideas from the nature and implant it in the engineering sciences. This way of thinking led to emergence of many biologically inspired algorithms that have proven to be efficient in handling the computationally complex problems with competence such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), etc. Motivated by the capability of the biologically inspired algorithms the present book on "Swarm Intelligence: Focus on Ant and Particle Swarm Optimization" aims to present recent developments and applications concerning optimization with swarm intelligence techniques. The papers selected for this book comprise a cross-section of topics that reflect a variety of perspectives and disciplinary backgrounds. In addition to the introduction of new concepts of swarm intelligence, this book also presented some selected representative case studies covering power plant maintenance scheduling; geotechnical engineering; design and machining tolerances; layout problems; manufacturing process plan; job-shop scheduling; structural design; environmental dispatching problems; wireless communication; water distribution systems; multi-plant supply chain; fault diagnosis of airplane engines; and process scheduling. I believe these 27 chapters presented in this book adequately reflect these topics.

Author: Kuldeep Singh Kaswan
Publisher: John Wiley & Sons
ISBN: 1119865069
Category : Computers
Languages : en
Pages : 260

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Book Description
SWARM INTELLIGENCE This important authored book presents valuable new insights by exploring the boundaries shared by cognitive science, social psychology, artificial life, artificial intelligence, and evolutionary computation by applying these insights to solving complex engineering problems. Motivated by the capability of the biologically inspired algorithms, “Swarm Intelligence: An Approach from Natural to Artificial” focuses on ant, cat, crow, elephant, grasshopper, water wave and whale optimization, swarm cyborg and particle swarm optimization, and presents recent developments and applications concerning optimization with swarm intelligence techniques. The goal of the book is to offer a wide spectrum of sample works developed in leading research throughout the world about innovative methodologies of swarm intelligence and foundations of engineering swarm intelligent systems; as well as applications and interesting experiences using particle swarm optimization, which is at the heart of computational intelligence. Discussed in the book are applications of various swarm intelligence models to operational planning of energy plants, modeling, and control of robots, organic computing, techniques of cloud services, bioinspired optimization, routing protocols for next-generation networks inspired by collective behaviors of insect societies and cybernetic organisms. Audience The book is directed to researchers, practicing engineers, and students in computational intelligence who are interested in enhancing their knowledge of techniques and swarm intelligence.

Author: Acacio Edmundo Macip Toral
Publisher: Lulu.com
ISBN: 1291729135
Category : Law
Languages : en
Pages : 287

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Book Description
El presente trabajo, es un tema que se ubica, dentro de uno mayor llamado Inteligencias múltiples. Mi propuesta es desarrollar siete inteligencias prioritarias, acordes con el ideal constitucional (...desarrollar armónicamente, todas las facultades del ser humano. Art. 3). Al desarrollar estas siete capacidades (meta-normas), desarrollaríamos una cultura jurídica tal, que estimularía una conducta acorde con la legalidad y esto evitaría un sinnúmero de acciones, fuera del orden.

Author: Christian Blum
Publisher: Springer Science & Business Media
ISBN: 3540740899
Category : Computers
Languages : en
Pages : 284

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Book Description
The book’s contributing authors are among the top researchers in swarm intelligence. The book is intended to provide an overview of the subject to novices, and to offer researchers an update on interesting recent developments. Introductory chapters deal with the biological foundations, optimization, swarm robotics, and applications in new-generation telecommunication networks, while the second part contains chapters on more specific topics of swarm intelligence research.

Author: Nadia Nedjah
Publisher: Springer Science & Business Media
ISBN: 3540338683
Category : Mathematics
Languages : en
Pages : 199

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Book Description
Systems designers have learned that many agents co-operating within the system can solve very complex problems with a minimal design effort. In general, multi-agent systems that use swarm intelligence are said to be swarm intelligent systems. Today, these are mostly used as search engines and optimization tools. This volume reviews innovative methodologies of swarm intelligence, outlines the foundations of engineering swarm intelligent systems and applications, and relates experiences using the particle swarm optimisation.

Author: Adam Slowik
Publisher: CRC Press
ISBN: 0429749503
Category : Computers
Languages : en
Pages : 363

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Book Description
Swarm intelligence algorithms are a form of nature-based optimization algorithms. Their main inspiration is the cooperative behavior of animals within specific communities. This can be described as simple behaviors of individuals along with the mechanisms for sharing knowledge between them, resulting in the complex behavior of the entire community. Examples of such behavior can be found in ant colonies, bee swarms, schools of fish or bird flocks. Swarm intelligence algorithms are used to solve difficult optimization problems for which there are no exact solving methods or the use of such methods is impossible, e.g. due to unacceptable computational time. This book thoroughly presents the basics of 24 algorithms selected from the entire family of swarm intelligence algorithms. Each chapter deals with a different algorithm describing it in detail and showing how it works in the form of a pseudo-code. In addition, the source code is provided for each algorithm in Matlab and in the C ++ programming language. In order to better understand how each swarm intelligence algorithm works, a simple numerical example is included in each chapter, which guides the reader step by step through the individual stages of the algorithm, showing all necessary calculations. This book can provide the basics for understanding how swarm intelligence algorithms work, and aid readers in programming these algorithms on their own to solve various computational problems. This book should also be useful for undergraduate and postgraduate students studying nature-based optimization algorithms, and can be a helpful tool for learning the basics of these algorithms efficiently and quickly. In addition, it can be a useful source of knowledge for scientists working in the field of artificial intelligence, as well as for engineers interested in using this type of algorithms in their work. If the reader already has basic knowledge of swarm intelligence algorithms, we recommend the book: "Swarm Intelligence Algorithms: Modifications and Applications" (Edited by A. Slowik, CRC Press, 2020), which describes selected modifications of these algorithms and presents their practical applications.

Author: Fornarelli, Girolamo
Publisher: IGI Global
ISBN: 1466626976
Category : Technology & Engineering
Languages : en
Pages : 420

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Book Description
With growing developments in artificial intelligence and focus on swarm behaviors; algorithms have been utilized in solving a variety of problems in the field of engineering. This approach has been specifically suited to face the challenges in electric and electronic engineering. Swarm Intelligence for Electric and Electronic Engineering provides an exchange of knowledge on the advances, discoveries, and improvements of swarm intelligence in electric and electronic engineering. This comprehensive collection aims to bring together new swarm-based algorithms as well as approaches to complex problems and various real-world applications.