Applications Of Evolutionary Computing PDF Download
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Author | : Paul Kaufmann (Computer scientist) |
Publisher | : |
Total Pages | : 642 |
Release | : 2019 |
Genre | : Evolutionary computation |
ISBN | : 9783030166939 |
Download Applications of Evolutionary Computation Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 22nd International Conference on Applications of Evolutionary Computation, EvoApplications 2019, held in Leipzig, Germany, in April 2019, co-located with the Evo*2019 events EuroGP, EvoCOP and EvoMUSART. The 44 revised full papers presented were carefully reviewed and selected from 66 submissions. They were organized in topical sections named: Engineering and Real World Applications; Games; General; Image and Signal Processing; Life Sciences; Networks and Distributed Systems; Neuroevolution and Data Analytics; Numerical Optimization: Theory, Benchmarks, and Applications; Robotics. --
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 | : Pedro A. Castillo |
Publisher | : Springer |
Total Pages | : 704 |
Release | : 2020-03-11 |
Genre | : Computers |
ISBN | : 9783030437213 |
Download Applications of Evolutionary Computation Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 23rd European Conference on Applications of Evolutionary Computation, EvoApplications 2020, held as part of Evo*2020, in Seville, Spain, in April 2020, co-located with the Evo*2020 events EuroGP, EvoMUSART and EvoCOP. The 44 full papers presented in this book were carefully reviewed and selected from 62 submissions. The papers cover a wide spectrum of topics, ranging from applications of bio-inspired techniques on social networks, evolutionary computation in digital healthcare and personalized medicine, soft-computing applied to games, applications of deep-bioinspired algorithms, parallel and distributed systems, and evolutionary machine learning.
Author | : Daniel Ashlock |
Publisher | : Springer Science & Business Media |
Total Pages | : 578 |
Release | : 2006-04-04 |
Genre | : Computers |
ISBN | : 0387319093 |
Download Evolutionary Computation for Modeling and Optimization Book in PDF, ePub and Kindle
Concentrates on developing intuition about evolutionary computation and problem solving skills and tool sets. Lots of applications and test problems, including a biotechnology chapter.
Author | : Raymond Chiong |
Publisher | : Springer Science & Business Media |
Total Pages | : 470 |
Release | : 2011-11-13 |
Genre | : Technology & Engineering |
ISBN | : 3642234240 |
Download Variants of Evolutionary Algorithms for Real-World Applications Book in PDF, ePub and Kindle
Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Due to their ability to find excellent solutions for conventionally hard and dynamic problems within acceptable time, EAs have attracted interest from many researchers and practitioners in recent years. This book “Variants of Evolutionary Algorithms for Real-World Applications” aims to promote the practitioner’s view on EAs by providing a comprehensive discussion of how EAs can be adapted to the requirements of various applications in the real-world domains. It comprises 14 chapters, including an introductory chapter re-visiting the fundamental question of what an EA is and other chapters addressing a range of real-world problems such as production process planning, inventory system and supply chain network optimisation, task-based jobs assignment, planning for CNC-based work piece construction, mechanical/ship design tasks that involve runtime-intense simulations, data mining for the prediction of soil properties, automated tissue classification for MRI images, and database query optimisation, among others. These chapters demonstrate how different types of problems can be successfully solved using variants of EAs and how the solution approaches are constructed, in a way that can be understood and reproduced with little prior knowledge on optimisation.
Author | : Stephen L. Smith |
Publisher | : John Wiley & Sons |
Total Pages | : 249 |
Release | : 2011-07-26 |
Genre | : Science |
ISBN | : 1119956781 |
Download Genetic and Evolutionary Computation Book in PDF, ePub and Kindle
Genetic and Evolutionary Computation: Medical Applications provides an overview of the range of GEC techniques being applied to medicine and healthcare in a context that is relevant not only for existing GEC practitioners but also those from other disciplines, particularly health professionals. There is rapidly increasing interest in applying evolutionary computation to problems in medicine, but to date no text that introduces evolutionary computation in a medical context. By explaining the basic introductory theory, typical application areas and detailed implementation in one coherent volume, this book will appeal to a wide audience from software developers to medical scientists. Centred around a set of nine case studies on the application of GEC to different areas of medicine, the book offers an overview of applications of GEC to medicine, describes applications in which GEC is used to analyse medical images and data sets, derive advanced models, and suggest diagnoses and treatments, finally providing hints about possible future advancements of genetic and evolutionary computation in medicine. Explores the rapidly growing area of genetic and evolutionary computation in context of its viable and exciting payoffs in the field of medical applications. Explains the underlying theory, typical applications and detailed implementation. Includes general sections about the applications of GEC to medicine and their expected future developments, as well as specific sections on applications of GEC to medical imaging, analysis of medical data sets, advanced modelling, diagnosis and treatment. Features a wide range of tables, illustrations diagrams and photographs.
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 | : 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.
Author | : Carlos A. Coello Coello |
Publisher | : World Scientific |
Total Pages | : 792 |
Release | : 2004 |
Genre | : Computers |
ISBN | : 9812561064 |
Download Applications of Multi-objective Evolutionary Algorithms Book in PDF, ePub and Kindle
- Detailed MOEA applications discussed by international experts - State-of-the-art practical insights in tackling statistical optimization with MOEAs - A unique monograph covering a wide spectrum of real-world applications - Step-by-step discussion of MOEA applications in a variety of domains
Author | : Dipankar Dasgupta |
Publisher | : Springer Science & Business Media |
Total Pages | : 561 |
Release | : 2013-06-29 |
Genre | : Computers |
ISBN | : 3662034239 |
Download Evolutionary Algorithms in Engineering Applications Book in PDF, ePub and Kindle
Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the applications of evolutionary algorithms. The volume consists of five parts, each with four or five chapters. The topics are chosen to emphasize application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains.