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Author: FOGA
Publisher: Morgan Kaufmann
ISBN: 1483295028
Category : Computers
Languages : en
Pages : 345
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Book Description
Foundations of Genetic Algorithms 1995 (FOGA 3)
Author: FOGA
Publisher: Morgan Kaufmann
ISBN: 1483295028
Category : Computers
Languages : en
Pages : 345
Get Book Here
Book Description
Foundations of Genetic Algorithms 1995 (FOGA 3)
Author: Alden H. Wright
Publisher: Springer
ISBN: 3540320350
Category : Computers
Languages : en
Pages : 325
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Book Description
The8thWorkshopontheFoundationsofGeneticAlgorithms,FOGA-8,washeld at the University of Aizu in Aizu-Wakamatsu City, Japan, January 5–9, 2005. This series of workshops was initiated in 1990 to encourage further research on the theoretical aspects of genetic algorithms, and the workshops have been held biennially ever since. The papers presented at these workshops are revised, edited and published as volumes during the year following each workshop. This series of (now eight) volumes provides an outstanding source of reference for the theoretical work in this ?eld. At the same time this series of volumes provides a clear picture of how the theoretical research has grown and matured along with the ?eld to encompass many evolutionary computation paradigms including evolution strategies (ES), evolutionary programming (EP), and genetic programming (GP), as well as the continuing growthininteractionswith other ?elds suchas mathematics,physics, and biology. Atraditionoftheseworkshopsisorganizetheminsuchawayastoencourage lots of interaction and discussion by restricting the number of papers presented and the number of attendees, and by holding the workshop in a relaxed and informal setting. This year’s workshop was no exception. Thirty-two researchers met for 3 days to present and discuss 16 papers. The local organizer was Lothar Schmitt who, together with help and support from his university, provided the workshop facilities. Aftertheworkshopwasover,theauthorsweregiventheopportunitytorevise their papers based on the feedback they received from the other participants.
Author: Worth Martin
Publisher: Elsevier
ISBN: 0080506879
Category : Computers
Languages : en
Pages : 351
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Book Description
Foundations of Genetic Algorithms, Volume 6 is the latest in a series of books that records the prestigious Foundations of Genetic Algorithms Workshops, sponsored and organised by the International Society of Genetic Algorithms specifically to address theoretical publications on genetic algorithms and classifier systems. Genetic algorithms are one of the more successful machine learning methods. Based on the metaphor of natural evolution, a genetic algorithm searches the available information in any given task and seeks the optimum solution by replacing weaker populations with stronger ones. - Includes research from academia, government laboratories, and industry - Contains high calibre papers which have been extensively reviewed - Continues the tradition of presenting not only current theoretical work but also issues that could shape future research in the field - Ideal for researchers in machine learning, specifically those involved with evolutionary computation
Author: Christopher R. Stephens
Publisher: Springer
ISBN: 3540734821
Category : Computers
Languages : en
Pages : 221
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Book Description
Readers will find here a fascinating text that is the thoroughly refereed post-proceedings of the 9th Workshop on the Foundations of Genetic Algorithms, FOGA 2007, held in Mexico City in January 2007. The 11 revised full papers presented were carefully reviewed and selected during two rounds of reviewing and improvement from 22 submissions. The papers address all current topics in the field of theoretical evolutionary computation and also depict the continuing growth in interactions with other fields such as mathematics, physics, and biology
Author: Lance D. Chambers
Publisher: CRC Press
ISBN: 9781420050080
Category : Mathematics
Languages : en
Pages : 602
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Book Description
Practical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems contains computer-code examples for the development of genetic algorithm systems - compiling them from an array of practitioners in the field. Each contribution of this singular resource includes: unique code segments documentation descripti
Author: Richard K. Belew
Publisher: Morgan Kaufmann Publishers
ISBN: 9781558604605
Category : Combinatorial optimization
Languages : en
Pages : 0
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Book Description
Author: L. Darrell Whitley
Publisher:
ISBN:
Category : Combinatorial optimization
Languages : en
Pages : 352
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Book Description
Author: Christian Jacob
Publisher: Morgan Kaufmann
ISBN: 1558606378
Category : Computers
Languages : en
Pages : 606
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Book Description
Part 1: Fascinating Evolution -- Part 2: Evolutionary Computation -- Part 3: If Darwin was a Programmer -- Part 4: Evolution of Developmental Programs.
Author: William B. Langdon
Publisher: Springer Science & Business Media
ISBN: 3662047268
Category : Computers
Languages : en
Pages : 265
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Book Description
This is one of the only books to provide a complete and coherent review of the theory of genetic programming (GP). In doing so, it provides a coherent consolidation of recent work on the theoretical foundations of GP. A concise introduction to GP and genetic algorithms (GA) is followed by a discussion of fitness landscapes and other theoretical approaches to natural and artificial evolution. Having surveyed early approaches to GP theory it presents new exact schema analysis, showing that it applies to GP as well as to the simpler GAs. New results on the potentially infinite number of possible programs are followed by two chapters applying these new techniques.
Author: George Leu
Publisher: Springer
ISBN: 3319490494
Category : Technology & Engineering
Languages : en
Pages : 507
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Book Description
Over the last two decades the field of Intelligent Systems delivered to human kind significant achievements, while also facing major transformations. 20 years ago, automation and knowledge-based AI were still the dominant paradigms fueling the efforts of both researchers and practitioners. Later, 10 years ago, statistical machine intelligence was on the rise, heavily supported by the digital computing, and led to the unprecedented advances in and dependence on digital technology. However, the resultant intelligent systems remained designer-based endeavors and thus, were limited in their true learning and development abilities. Today, the challenge is to have in place intelligent systems that can develop themselves on behalf of their creators, and gain abilities with no or limited supervision in the tasks they are meant to perform. Cognitive development systems, and the supporting cognitive computing are on the rise today, promising yet other significant achievements for the future of human kind. This book captures this unprecedented evolution of the field of intelligent systems, presenting a compilation of studies that covers all research directions in the field over the last two decades, offering to the reader a broad view over the field, while providing a solid foundation from which outstanding new ideas may emerge.
