Nature Inspired Computing Paradigms in Systems

Nature-Inspired Computing Paradigms in Systems: Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM) covers several areas that include bioinspired techniques and optimization approaches for system dependability. The book addresses the issue of integration and interaction of the bioinspired techniques in system dependability computing so that intelligent decisions, design, and architectures can be supported. It brings together these emerging areas under the umbrella of bio- and nature-inspired computational intelligence. The primary audience of this book includes experts and developers who want to deepen their understanding of bioinspired computing in basic theory, algorithms, and applications. The book is also intended to be used as a textbook for masters and doctoral students who want to enhance their knowledge and understanding of the role of bioinspired techniques in system dependability. Provides the latest review Covers various nature-inspired techniques applied to RAMS+C and PHM problems Includes techniques applied to new applications

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  • Author : Otis Dudley Duncan
  • Publisher : Academic Press
  • Pages : 284 pages
  • ISBN :
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKNature Inspired Computing Paradigms in Systems

Nature-Inspired Computing Paradigms in Systems

Nature-Inspired Computing Paradigms in Systems
  • Author : Otis Dudley Duncan,David L. Featherman,Beverly Duncan
  • Publisher : Academic Press
  • Release : 24 June 1972
GET THIS BOOKNature-Inspired Computing Paradigms in Systems

Nature-Inspired Computing Paradigms in Systems: Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM) covers several areas that include bioinspired techniques and optimization approaches for system dependability. The book addresses the issue of integration and interaction of the bioinspired techniques in system dependability computing so that intelligent decisions, design, and architectures can be supported. It brings together these emerging areas under the umbrella of bio- and nature-inspired computational intelligence. The primary audience of this book

Incorporating Nature-Inspired Paradigms in Computational Applications

Incorporating Nature-Inspired Paradigms in Computational Applications
  • Author : Khosrow-Pour, Mehdi
  • Publisher : IGI Global
  • Release : 06 April 2018
GET THIS BOOKIncorporating Nature-Inspired Paradigms in Computational Applications

Many techniques have been developed to control the variety of dynamic systems. To develop those control techniques, it is fundamental to know the mathematical relations between the system inputs and outputs. Incorporating Nature-Inspired Paradigms in Computational Applications is a critical scholarly resource that examines the application of nature-inspired paradigms on system identification. Featuring coverage on a broad range of topics such as biogeographic computation, evolutionary control systems, and natural computing, this book is geared towards IT professionals, engineers, computer scientists,

Nature-Inspired Computing and Optimization

Nature-Inspired Computing and Optimization
  • Author : Srikanta Patnaik,Xin-She Yang,Kazumi Nakamatsu
  • Publisher : Springer
  • Release : 07 March 2017
GET THIS BOOKNature-Inspired Computing and Optimization

The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from

Nature-Inspired Computing for Smart Application Design

Nature-Inspired Computing for Smart Application Design
  • Author : Santosh Kumar Das,Thanh-Phong Dao,Thinagaran Perumal
  • Publisher : Springer
  • Release : 18 March 2021
GET THIS BOOKNature-Inspired Computing for Smart Application Design

This book focuses primarily on the nature-inspired approach for designing smart applications. It includes several implementation paradigms such as design and path planning of wireless network, security mechanism and implementation for dynamic as well as static nodes, learning method of cloud computing, data exploration and management, data analysis and optimization, decision taking in conflicting environment, etc. The book fundamentally highlights the recent research advancements in the field of engineering and science.

Nature-Inspired Computing Design, Development, and Applications

Nature-Inspired Computing Design, Development, and Applications
  • Author : Nunes de Castro, Leandro
  • Publisher : IGI Global
  • Release : 31 May 2012
GET THIS BOOKNature-Inspired Computing Design, Development, and Applications

The observation of nature has been the inspiration for many materials, laws, and theories, as well as computational methods. Nature-Inspired computing Design, Development, and Applications covers all the main areas of natural computing, from methods to computationally synthesized natural phenomena, to computing paradigms based on natural materials. This volume is comprised of ideas and research from nature to develop computational systems or materials to perform computation. Researchers, academic educators, and professionals will find a comprehensive view of all aspects of

Applied Nature-Inspired Computing: Algorithms and Case Studies

Applied Nature-Inspired Computing: Algorithms and Case Studies
  • Author : Nilanjan Dey,Amira S. Ashour,Siddhartha Bhattacharyya
  • Publisher : Springer
  • Release : 10 August 2019
GET THIS BOOKApplied Nature-Inspired Computing: Algorithms and Case Studies

This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications. It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems. In turn, it provides an overview of meta-heuristic algorithms, comparing the advantages and disadvantages of each. Moreover, the book provides a brief outline

Nature-Inspired Computing

Nature-Inspired Computing
  • Author : Nazmul H. Siddique,Hojjat Adeli
  • Publisher : CRC Press
  • Release : 19 May 2017
GET THIS BOOKNature-Inspired Computing

Nature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a comprehensive introduction to the methodologies and algorithms in nature-inspired computing, with an emphasis on applications to real-life engineering problems. The research interest for Nature-inspired Computing has grown considerably exploring different phenomena observed in nature and basic principles of physics, chemistry, and biology. The discipline has reached a mature stage and the field has been well-established. This endeavour is another attempt at investigation into various computational schemes inspired from nature, which are presented

Computational Vision and Bio-Inspired Computing

Computational Vision and Bio-Inspired Computing
  • Author : S. Smys,João Manuel R. S. Tavares,Valentina Emilia Balas,Abdullah M. Iliyasu
  • Publisher : Springer Nature
  • Release : 06 January 2020
GET THIS BOOKComputational Vision and Bio-Inspired Computing

This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. Due to the rapid advances in the emerging information, communication and computing technologies, the Internet of Things, cloud and edge computing, and artificial intelligence play a significant role in the computational vision context. In recent years, computational vision has contributed to enhancing the methods of controlling the operations in biological systems, like ant colony optimization, neural networks, and immune systems. Moreover, the ability of computational vision to

Handbook of Research on Natural Computing for Optimization Problems

Handbook of Research on Natural Computing for Optimization Problems
  • Author : Mandal, Jyotsna Kumar
  • Publisher : IGI Global
  • Release : 25 May 2016
GET THIS BOOKHandbook of Research on Natural Computing for Optimization Problems

Nature-inspired computation is an interdisciplinary topic area that connects the natural sciences to computer science. Since natural computing is utilized in a variety of disciplines, it is imperative to research its capabilities in solving optimization issues. The Handbook of Research on Natural Computing for Optimization Problems discusses nascent optimization procedures in nature-inspired computation and the innovative tools and techniques being utilized in the field. Highlighting empirical research and best practices concerning various optimization issues, this publication is a comprehensive reference

Clever Algorithms

Clever Algorithms
  • Author : Jason Brownlee
  • Publisher : Jason Brownlee
  • Release : 01 January 2011
GET THIS BOOKClever Algorithms

This book provides a handbook of algorithmic recipes from the fields of Metaheuristics, Biologically Inspired Computation and Computational Intelligence that have been described in a complete, consistent, and centralized manner. These standardized descriptions were carefully designed to be accessible, usable, and understandable. Most of the algorithms described in this book were originally inspired by biological and natural systems, such as the adaptive capabilities of genetic evolution and the acquired immune system, and the foraging behaviors of birds, bees, ants and

Nature-Inspired Computation and Swarm Intelligence

Nature-Inspired Computation and Swarm Intelligence
  • Author : Xin-She Yang
  • Publisher : Academic Press
  • Release : 24 April 2020
GET THIS BOOKNature-Inspired Computation and Swarm Intelligence

Nature-inspired computation and swarm intelligence have become popular and effective tools for solving problems in optimization, computational intelligence, soft computing and data science. Recently, the literature in the field has expanded rapidly, with new algorithms and applications emerging. Nature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications is a timely reference giving a comprehensive review of relevant state-of-the-art developments in algorithms, theory and applications of nature-inspired algorithms and swarm intelligence. It reviews and documents the new developments, focusing on nature-inspired

Bio-Inspired Computing and Networking

Bio-Inspired Computing and Networking
  • Author : Yang Xiao
  • Publisher : CRC Press
  • Release : 19 April 2016
GET THIS BOOKBio-Inspired Computing and Networking

Seeking new methods to satisfy increasing communication demands, researchers continue to find inspiration from the complex systems found in nature. From ant-inspired allocation to a swarm algorithm derived from honeybees, Bio-Inspired Computing and Networking explains how the study of biological systems can significantly improve computing, networki

Soft Computing Applications in Optimization, Control, and Recognition

Soft Computing Applications in Optimization, Control, and Recognition
  • Author : Patricia Melin,Oscar Castillo
  • Publisher : Springer
  • Release : 14 December 2012
GET THIS BOOKSoft Computing Applications in Optimization, Control, and Recognition

Soft computing includes several intelligent computing paradigms, like fuzzy logic, neural networks, and bio-inspired optimization algorithms. This book describes the application of soft computing techniques to intelligent control, pattern recognition, and optimization problems. The book is organized in four main parts. The first part deals with nature-inspired optimization methods and their applications. Papers included in this part propose new models for achieving intelligent optimization in different application areas. The second part discusses hybrid intelligent systems for achieving control. Papers included

Membrane Computing

Membrane Computing
  • Author : Gheorghe Paun
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKMembrane Computing

Membrane computing is an unconventional model of computation associated with a new computing paradigm. The field of membrane computing was initiated in 1998 by the author of this book; it is a branch of natural computing inspired by the structure and functioning of the living cell and devises distributed parallel computing models in the form of membrane systems. This book is the first monograph surveying the new field in a systematic and coherent way. It presents the central notions and results: