Gecco 2000
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Gecco 2000
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Author : L. Darrell Whitley
language : en
Publisher: Morgan Kaufmann
Release Date : 2000
Gecco 2000 written by L. Darrell Whitley and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.
Gecco 2001
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Author : Lee Spector
language : en
Publisher: Morgan Kaufmann
Release Date : 2001
Gecco 2001 written by Lee Spector and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.
Data Mining And Knowledge Discovery With Evolutionary Algorithms
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Author : Alex A. Freitas
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11
Data Mining And Knowledge Discovery With Evolutionary Algorithms written by Alex A. Freitas and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Computers categories.
This book addresses the integration of two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increas ingly popular in the last few years, and their integration is currently an area of active research. In essence, data mining consists of extracting valid, comprehensible, and in teresting knowledge from data. Data mining is actually an interdisciplinary field, since there are many kinds of methods that can be used to extract knowledge from data. Arguably, data mining mainly uses methods from machine learning (a branch of artificial intelligence) and statistics (including statistical pattern recog nition). Our discussion of data mining and evolutionary algorithms is primarily based on machine learning concepts and principles. In particular, in this book we emphasize the importance of discovering comprehensible, interesting knowledge, which the user can potentially use to make intelligent decisions. In a nutshell, the motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions (rules or another form of knowl edge representation). In contrast, most rule induction methods perform a local, greedy search in the space of candidate rules. Intuitively, the global search of evolutionary algorithms can discover interesting rules and patterns that would be missed by the greedy search.
Engineering Design Synthesis
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Author : Amaresh Chakrabarti
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Engineering Design Synthesis written by Amaresh Chakrabarti and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Technology & Engineering categories.
This book is an attempt to bring together some of the most infiuential pie ces of research that collectively underpin today's understanding of what constitutes and contributes to design synthesis, and the approaches and tools for supporting this important activity. The book has three parts. Part 1 - Understanding - is intended to provide an overview of some of the major findings as to what constitutes design synthesis, and some of its major infiuencing factors. Part 2 - Approaches - provides descriptions of some of the major prescriptive approaches to design synthesis that together infiu enced many of the computational tools described in the final part. Part 3 - Tool- is a selection of the diverse range of computational approaches being developed to support synthesis in the major strands of synthesis research - composition, retrieval, adaptation and change. In addition, the book contains an editorial introduction to the chapters and the broader context of research it represents, and a supplementary bibliography to help locate this broader expanse of work. With the wide variety of methods and tools covered, this book is intended primarily for graduate students and researchers in product design and development; but it will also be beneficial for educators and prac titioners of engineering design, for whom it should act as a valuable sourcebook of ideas for teaching or enhancing design creativity.
Hierarchical Bayesian Optimization Algorithm
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Author : Martin Pelikan
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-02
Hierarchical Bayesian Optimization Algorithm written by Martin Pelikan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02 with Computers categories.
This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine learning techniques. The book focuses on two algorithms that replace traditional variation operators of evolutionary algorithms by learning and sampling Bayesian networks: the Bayesian optimization algorithm (BOA) and the hierarchical BOA (hBOA). BOA and hBOA are theoretically and empirically shown to provide robust and scalable solution for broad classes of nearly decomposable and hierarchical problems. A theoretical model is developed that estimates the scalability and adequate parameter settings for BOA and hBOA. The performance of BOA and hBOA is analyzed on a number of artificial problems of bounded difficulty designed to test BOA and hBOA on the boundary of their design envelope. The algorithms are also extensively tested on two interesting classes of real-world problems: MAXSAT and Ising spin glasses with periodic boundary conditions in two and three dimensions. Experimental results validate the theoretical model and confirm that BOA and hBOA provide robust and scalable solution for nearly decomposable and hierarchical problems with only little problem-specific information.
Parameter Setting In Evolutionary Algorithms
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Author : F.J. Lobo
language : en
Publisher: Springer
Release Date : 2007-04-03
Parameter Setting In Evolutionary Algorithms written by F.J. Lobo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-03 with Technology & Engineering categories.
One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values. Typically these are specified before the algorithm is run and include population size, selection rate, operator probabilities, not to mention the representation and the operators themselves. This book gives the reader a solid perspective on the different approaches that have been proposed to automate control of these parameters as well as understanding their interactions. The book covers a broad area of evolutionary computation, including genetic algorithms, evolution strategies, genetic programming, estimation of distribution algorithms, and also discusses the issues of specific parameters used in parallel implementations, multi-objective evolutionary algorithms, and practical consideration for real-world applications. It is a recommended read for researchers and practitioners of evolutionary computation and heuristic methods.
Knowledge Incorporation In Evolutionary Computation
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Author : Yaochu Jin
language : en
Publisher: Springer
Release Date : 2013-04-22
Knowledge Incorporation In Evolutionary Computation written by Yaochu Jin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-22 with Mathematics categories.
Incorporation of a priori knowledge, such as expert knowledge, meta-heuristics and human preferences, as well as domain knowledge acquired during evolu tionary search, into evolutionary algorithms has received increasing interest in the recent years. It has been shown from various motivations that knowl edge incorporation into evolutionary search is able to significantly improve search efficiency. However, results on knowledge incorporation in evolution ary computation have been scattered in a wide range of research areas and a systematic handling of this important topic in evolutionary computation still lacks. This edited book is a first attempt to put together the state-of-art and re cent advances on knowledge incorporation in evolutionary computation within a unified framework. Existing methods for knowledge incorporation are di vided into the following five categories according to the functionality of the incorporated knowledge in the evolutionary algorithms. 1. Knowledge incorporation in representation, population initialization, - combination and mutation. 2. Knowledge incorporation in selection and reproduction. 3. Knowledge incorporation in fitness evaluations. 4. Knowledge incorporation through life-time learning and human-computer interactions. 5. Incorporation of human preferences in multi-objective evolutionary com putation. The intended readers of this book are graduate students, researchers and practitioners in all fields of science and engineering who are interested in evolutionary computation. The book is divided into six parts. Part I contains one introductory chapter titled "A selected introduction to evolutionary computation" by Yao, which presents a concise but insightful introduction to evolutionary computation.
Manufacturing Science And Technology Iii
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Author : Rajagopal Sivakumar
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2012-12-27
Manufacturing Science And Technology Iii written by Rajagopal Sivakumar and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-27 with Technology & Engineering categories.
Selected, peer reviewed papers from the 2012 3rd International Conference on Manufacturing Science and Technology (ICMST 2012), August 18-19, 2012, New Delhi, India
Neural Computation
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Author :
language : en
Publisher:
Release Date : 2000
Neural Computation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Neural computers categories.
Pc Ai
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Author :
language : en
Publisher:
Release Date : 2000
Pc Ai written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Artificial intelligence categories.