Artificial Intelligence, Evolutionary Computing and Metaheuristics

Download or Read eBook Artificial Intelligence, Evolutionary Computing and Metaheuristics PDF written by Xin-She Yang and published by Springer. This book was released on 2012-07-27 with total page 797 pages. Available in PDF, EPUB and Kindle.
Artificial Intelligence, Evolutionary Computing and Metaheuristics
Author :
Publisher : Springer
Total Pages : 797
Release :
ISBN-10 : 9783642296949
ISBN-13 : 3642296947
Rating : 4/5 (49 Downloads)

Book Synopsis Artificial Intelligence, Evolutionary Computing and Metaheuristics by : Xin-She Yang

Book excerpt: Alan Turing pioneered many research areas such as artificial intelligence, computability, heuristics and pattern formation. Nowadays at the information age, it is hard to imagine how the world would be without computers and the Internet. Without Turing's work, especially the core concept of Turing Machine at the heart of every computer, mobile phone and microchip today, so many things on which we are so dependent would be impossible. 2012 is the Alan Turing year -- a centenary celebration of the life and work of Alan Turing. To celebrate Turing's legacy and follow the footsteps of this brilliant mind, we take this golden opportunity to review the latest developments in areas of artificial intelligence, evolutionary computation and metaheuristics, and all these areas can be traced back to Turing's pioneer work. Topics include Turing test, Turing machine, artificial intelligence, cryptography, software testing, image processing, neural networks, nature-inspired algorithms such as bat algorithm and cuckoo search, and multiobjective optimization and many applications. These reviews and chapters not only provide a timely snapshot of the state-of-art developments, but also provide inspiration for young researchers to carry out potentially ground-breaking research in the active, diverse research areas in artificial intelligence, cryptography, machine learning, evolutionary computation, and nature-inspired metaheuristics. This edited book can serve as a timely reference for graduates, researchers and engineers in artificial intelligence, computer sciences, computational intelligence, soft computing, optimization, and applied sciences.


Artificial Intelligence, Evolutionary Computing and Metaheuristics Related Books

Artificial Intelligence, Evolutionary Computing and Metaheuristics
Language: en
Pages: 797
Authors: Xin-She Yang
Categories: Technology & Engineering
Type: BOOK - Published: 2012-07-27 - Publisher: Springer

DOWNLOAD EBOOK

Alan Turing pioneered many research areas such as artificial intelligence, computability, heuristics and pattern formation. Nowadays at the information age, it
Metaheuristics in Machine Learning: Theory and Applications
Language: en
Pages: 765
Authors: Diego Oliva
Categories: Computational intelligence
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolut
Metaheuristic and Evolutionary Computation: Algorithms and Applications
Language: en
Pages: 830
Authors: Hasmat Malik
Categories: Technology & Engineering
Type: BOOK - Published: 2020-10-08 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book addresses the principles and applications of metaheuristic approaches in engineering and related fields. The first part covers metaheuristics tools an
Artificial Intelligence and Evolutionary Computations in Engineering Systems
Language: en
Pages: 714
Authors: Subhransu Sekhar Dash
Categories: Technology & Engineering
Type: BOOK - Published: 2018-03-19 - Publisher: Springer

DOWNLOAD EBOOK

The book is a collection of high-quality peer-reviewed research papers presented in the International Conference on Artificial Intelligence and Evolutionary Com
Data-Driven Evolutionary Optimization
Language: en
Pages: 393
Authors: Yaochu Jin
Categories: Computers
Type: BOOK - Published: 2021-06-28 - Publisher: Springer Nature

DOWNLOAD EBOOK

Intended for researchers and practitioners alike, this book covers carefully selected yet broad topics in optimization, machine learning, and metaheuristics. Wr