Evolutionary Computing And Artificial Intelligence PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Evolutionary Computing And Artificial Intelligence PDF full book. Access full book title Evolutionary Computing And Artificial Intelligence.
| Author | : Agoston E. Eiben |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 307 |
| Release | : 2013-03-14 |
| Genre | : Computers |
| ISBN | : 3662050943 |
Download Introduction to Evolutionary Computing Book in PDF, ePub and Kindle
The first complete overview of evolutionary computing, the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. The text is aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. The book contains quick-reference information on the current state-of-the-art in a wide range of related topics, so it is of interest not just to evolutionary computing specialists but to researchers working in other fields.
| Author | : Subhransu Sekhar Dash |
| Publisher | : Springer |
| Total Pages | : 714 |
| Release | : 2018-03-19 |
| Genre | : Technology & Engineering |
| ISBN | : 9811078688 |
Download Artificial Intelligence and Evolutionary Computations in Engineering Systems Book in PDF, ePub and Kindle
The book is a collection of high-quality peer-reviewed research papers presented in the International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems (ICAIECES 2017). The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. Researchers from academia and industry have presented their original work and ideas, information, techniques and applications in the field of communication, computing and power technologies.
| Author | : L. Padma Suresh |
| Publisher | : Springer |
| Total Pages | : 831 |
| Release | : 2014-11-01 |
| Genre | : Technology & Engineering |
| ISBN | : 8132221265 |
Download Artificial Intelligence and Evolutionary Algorithms in Engineering Systems Book in PDF, ePub and Kindle
The book is a collection of high-quality peer-reviewed research papers presented in Proceedings of International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014) held at Noorul Islam Centre for Higher Education, Kumaracoil, India. These research papers provide the latest developments in the broad area of use of artificial intelligence and evolutionary algorithms in engineering systems. The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies.
| Author | : Peter Bentley |
| Publisher | : Morgan Kaufmann |
| Total Pages | : 618 |
| Release | : 2002 |
| Genre | : Computers |
| ISBN | : 1558606734 |
Download Creative Evolutionary Systems Book in PDF, ePub and Kindle
Written for computer scientists and students, and computer literate artists, designers and specialists in evolutionary computation, this text brings together the most advanced work in the use of evolutionary computation for creative results.
| Author | : Ashish Ghosh |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 1001 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 3642189652 |
Download Advances in Evolutionary Computing Book in PDF, ePub and Kindle
This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the usefulness/success of it for various kinds of large-scale real world problems. Around 23 articles deal with various theoretical aspects of EC and 17 articles demonstrate the success of EC methodologies. These articles are written by leading experts of the field from different countries all over the world.
| Author | : Kenneth A. De Jong |
| Publisher | : MIT Press |
| Total Pages | : 267 |
| Release | : 2006-02-03 |
| Genre | : Computers |
| ISBN | : 0262303337 |
Download Evolutionary Computation Book in PDF, ePub and Kindle
A clear and comprehensive introduction to the field of evolutionary computation that takes an integrated approach. Evolutionary computation, the use of evolutionary systems as computational processes for solving complex problems, is a tool used by computer scientists and engineers who want to harness the power of evolution to build useful new artifacts, by biologists interested in developing and testing better models of natural evolutionary systems, and by artificial life scientists for designing and implementing new artificial evolutionary worlds. In this clear and comprehensive introduction to the field, Kenneth De Jong presents an integrated view of the state of the art in evolutionary computation. Although other books have described such particular areas of the field as genetic algorithms, genetic programming, evolution strategies, and evolutionary programming, Evolutionary Computation is noteworthy for considering these systems as specific instances of a more general class of evolutionary algorithms. This useful overview of a fragmented field is suitable for classroom use or as a reference for computer scientists and engineers.
| Author | : Gary Fogel |
| Publisher | : Morgan Kaufmann |
| Total Pages | : 432 |
| Release | : 2003 |
| Genre | : Computers |
| ISBN | : 9781558607972 |
Download Evolutionary Computation in Bioinformatics Book in PDF, ePub and Kindle
This book offers a definitive resource that bridges biology and evolutionary computation. The authors have written an introduction to biology and bioinformatics for computer scientists, plus an introduction to evolutionary computation for biologists and for computer scientists unfamiliar with these techniques.
| Author | : A.E. Eiben |
| Publisher | : Springer |
| Total Pages | : 294 |
| Release | : 2015-07-01 |
| Genre | : Computers |
| ISBN | : 3662448742 |
Download Introduction to Evolutionary Computing Book in PDF, ePub and Kindle
The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, a chapter on parameter tuning, which they combined with the parameter control and "how-to" chapters into a methodological part, and finally a chapter on evolutionary robotics with an outlook on possible exciting developments in this field. The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization.
| Author | : Fernando Koch |
| Publisher | : Springer |
| Total Pages | : 131 |
| Release | : 2019-03-13 |
| Genre | : Computers |
| ISBN | : 9811369364 |
Download Evolutionary Computing and Artificial Intelligence Book in PDF, ePub and Kindle
This Festschrift volume is published in honor of Takao Terano on the occasion of his retirement. Takao Terano is a leading expert in the areas of agent-based modelling, knowledge systems, evolutionary computation, and service science.The contributions in this volume reflect the breadth and impact of his work. The volume contains 12 full papers related to Takao Terano’s research. They deal with various aspects of artificial intelligence, multi-agent systems, collaborative and social computing, social networks, ubiquitous computing.
| Author | : Seyedali Mirjalili |
| Publisher | : Springer |
| Total Pages | : 156 |
| Release | : 2018-06-26 |
| Genre | : Technology & Engineering |
| ISBN | : 3319930257 |
Download Evolutionary Algorithms and Neural Networks Book in PDF, ePub and Kindle
This book introduces readers to the fundamentals of artificial neural networks, with a special emphasis on evolutionary algorithms. At first, the book offers a literature review of several well-regarded evolutionary algorithms, including particle swarm and ant colony optimization, genetic algorithms and biogeography-based optimization. It then proposes evolutionary version of several types of neural networks such as feed forward neural networks, radial basis function networks, as well as recurrent neural networks and multi-later perceptron. Most of the challenges that have to be addressed when training artificial neural networks using evolutionary algorithms are discussed in detail. The book also demonstrates the application of the proposed algorithms for several purposes such as classification, clustering, approximation, and prediction problems. It provides a tutorial on how to design, adapt, and evaluate artificial neural networks as well, and includes source codes for most of the proposed techniques as supplementary materials.
