Innovative Computational Intelligence A Rough Guide To 134 Clever Algorithms

Innovative Computational Intelligence  A Rough Guide to 134 Clever Algorithms
Publisher Springer Science & Business Media
Release Date
Category Computers
Total Pages 451
ISBN 9783319034041
Rating 4/5 from 21 reviews

The first notable feature of this book is its innovation: Computational intelligence (CI), a fast evolving area, is currently attracting lots of researchers’ attention in dealing with many complex problems. At present, there are quite a lot competing books existing in the market. Nevertheless, the present book is markedly different from the existing books in that it presents new paradigms of CI that have rarely mentioned before, as opposed to the traditional CI techniques or methodologies employed in other books. During the past decade, a number of new CI algorithms are proposed. Unfortunately, they spread in a number of unrelated publishing directions which may hamper the use of such published resources. These provide us with motivation to analyze the existing research for categorizing and synthesizing it in a meaningful manner. The mission of this book is really important since those algorithms are going to be a new revolution in computer science. We hope it will stimulate the readers to make novel contributions or even start a new paradigm based on nature phenomena. Although structured as a textbook, the book's straightforward, self-contained style will also appeal to a wide audience of professionals, researchers and independent learners. We believe that the book will be instrumental in initiating an integrated approach to complex problems by allowing cross-fertilization of design principles from different design philosophies. The second feature of this book is its comprehensiveness: Through an extensive literature research, there are 134 innovative CI algorithms covered in this book.

Innovative Computational Intelligence  A Rough Guide to 134 Clever Algorithms
  • Author : Bo Xing,Wen-Jing Gao
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-12-13

The first notable feature of this book is its innovation: Computational intelligence (CI), a fast evolving area, is currently attracting lots of researchers’ attention in dealing with many complex problems. At present, there are quite a lot competing books existing in the market. Nevertheless, the present book is markedly different

Smart Computing Applications in Crowdfunding
  • Author : Bo Xing,Tshilidzi Marwala
  • Publisher : CRC Press
  • Release Date : 2018-12-07

The book focuses on smart computing for crowdfunding usage, looking at the crowdfunding landscape, e.g., reward-, donation-, equity-, P2P-based and the crowdfunding ecosystem, e.g., regulator, asker, backer, investor, and operator. The increased complexity of fund raising scenario, driven by the broad economic environment as well as the

Handbook of Research on Soft Computing and Nature Inspired Algorithms
  • Author : Shandilya, Shishir K.,Shandilya, Smita,Deep, Kusum,Nagar, Atulya K.
  • Publisher : IGI Global
  • Release Date : 2017-03-10

Soft computing and nature-inspired computing both play a significant role in developing a better understanding to machine learning. When studied together, they can offer new perspectives on the learning process of machines. The Handbook of Research on Soft Computing and Nature-Inspired Algorithms is an essential source for the latest scholarly

Artificial Intelligence Techniques for Rational Decision Making
  • Author : Tshilidzi Marwala
  • Publisher : Springer
  • Release Date : 2014-10-20

Develops insights into solving complex problems in engineering, biomedical sciences, social science and economics based on artificial intelligence. Some of the problems studied are in interstate conflict, credit scoring, breast cancer diagnosis, condition monitoring, wine testing, image processing and optical character recognition. The author discusses and applies the concept of

Advances in Computational Intelligence
  • Author : Sudip Kumar Sahana,Sujan Kumar Saha
  • Publisher : Springer
  • Release Date : 2016-11-08

This volume comprises the proceedings of the International Conference on Computational Intelligence 2015 (ICCI15). This book aims to bring together work from leading academicians, scientists, researchers and research scholars from across the globe on all aspects of computational intelligence. The work is composed mainly of original and unpublished results of conceptual,

Advances in Bio inspired Computing for Combinatorial Optimization Problems
  • Author : Camelia-Mihaela Pintea
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-08-13

"Advances in Bio-inspired Combinatorial Optimization Problems" illustrates several recent bio-inspired efficient algorithms for solving NP-hard problems. Theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots are described. Large-scale optimization problems, for example: the Generalized Traveling Salesman Problem and the Railway Traveling Salesman Problem, are solved and

Brain Storm Optimization Algorithms
  • Author : Shi Cheng,Yuhui Shi
  • Publisher : Springer
  • Release Date : 2019-06-03

Brain Storm Optimization (BSO) algorithms are a new kind of swarm intelligence method, which is based on the collective behavior of human beings, i.e., on the brainstorming process. Since the introduction of BSO algorithms in 2011, many studies on them have been conducted. They not only offer an optimization method,

Optimization Models in Steganography Using Metaheuristics
  • Author : Dipti Kapoor Sarmah,Anand J. Kulkarni,Ajith Abraham
  • Publisher : Springer Nature
  • Release Date : 2020-02-25

This book explores the use of a socio-inspired optimization algorithm (the Cohort Intelligence algorithm), along with Cognitive Computing and a Multi-Random Start Local Search optimization algorithm. One of the most important types of media used for steganography is the JPEG image. Considering four important aspects of steganography techniques – picture quality,

New Advancements in Swarm Algorithms  Operators and Applications
  • Author : Erik Cuevas,Fernando Fausto,Adrián González
  • Publisher : Springer
  • Release Date : 2019-04-02

This book presents advances in alternative swarm development that have proved to be effective in several complex problems. Swarm intelligence (SI) is a problem-solving methodology that results from the cooperation between a set of agents with similar characteristics. The study of biological entities, such as animals and insects, manifesting social

Advances and Applications of Optimised Algorithms in Image Processing
  • Author : Diego Oliva,Erik Cuevas
  • Publisher : Springer
  • Release Date : 2016-11-21

This book presents a study of the use of optimization algorithms in complex image processing problems. The problems selected explore areas ranging from the theory of image segmentation to the detection of complex objects in medical images. Furthermore, the concepts of machine learning and optimization are analyzed to provide an

Clever Algorithms
  • Author : Jason Brownlee
  • Publisher : Jason Brownlee
  • Release Date : 2011-01

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

Nature Inspired Optimization Techniques for Image Processing Applications
  • Author : Jude Hemanth,Valentina Emilia Balas
  • Publisher : Springer
  • Release Date : 2018-09-19

This book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization techniques has increased exponentially. These accuracy and

Advanced Optimization by Nature Inspired Algorithms
  • Author : Omid Bozorg-Haddad
  • Publisher : Springer
  • Release Date : 2017-06-30

This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms

Automated Machine Learning
  • Author : Frank Hutter,Lars Kotthoff,Joaquin Vanschoren
  • Publisher : Springer
  • Release Date : 2019-05-17

This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the

Architects of Intelligence
  • Author : Martin Ford
  • Publisher : Packt Publishing Ltd
  • Release Date : 2018-11-23

Book Description How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances? Architects of Intelligence contains a series