Author: M. Iglesias
Edition: 2005
Publisher: Springer
Binding: Hardcover
ISBN: 1402036663
Category: Programming
List Price: $ 129.00
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Foundations of Generic Optimization: Volume 1: A Combinatorial Approach to Epistasis (Mathematical Modelling: Theory and Applications)
The success of a genetic algorithm when applied to an optimization problem depends upon several features present or absent in the problem to be solved, including the quality of the encoding of data, the geometric structure of the search space, deception or epistasis. Programming books Foundations of Generic Optimization: Volume 1: A Combinatorial Approach to Epistasis (Mathematical Modelling pdf. . Download books Foundations of Generic Optimization: Volume 1: A Combinatorial Approach to Epistasis (Mathematical Modelling: Theory and Applications) pdf via mediafire, 4shared, rapidshare.
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Foundations of Generic Optimization: Volume 1: A Combinatorial Approach to Epistasis (Mathematical Modelling: Theory and Applications) - M. Iglesias B. Naudts C. Vidal
Foundations of Generic Optimization: Volume 1: A Combinatorial Approach to Epistasis (Mathematical Modelling: Theory and Applications) - M. Iglesias B. Naudts C. Vidal
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Review From the Review s: "This book deals with combinatorial aspects of epistasis, especially normalized epistasis, a concept that exists in genetics and evolutionary algorithms. It starts with the theory of evolutionary algorithms. This illustrative introduction makes the book readable independent on other textbooks. òÀæ The book is very well written and presents many important and useful results. òÀæ It shows also that difficult practical problems can only be efficiently solved by a combination of Modelling, Mathematics and Computing." (Christian Posthoff, Zentralblatt MATH, Vol. 1108
Review From the Review s: "This book deals with combinatorial aspects of epistasis, especially normalized epistasis, a concept that exists in genetics and evolutionary algorithms. It starts with the theory of evolutionary algorithms. This illustrative introduction makes the book readable independent on other textbooks. òÀæ The book is very well written and presents many important and useful results. òÀæ It shows also that difficult practical problems can only be efficiently solved by a combination of Modelling, Mathematics and Computing." (Christian Posthoff, Zentralblatt MATH, Vol. 1108
Price: $83
Kluwer Academic Publishers 2005. 1st. Hardcover. Like New/Like New.
Kluwer Academic Publishers 2005. 1st. Hardcover. Like New/Like New.
Price: $82
The success of a genetic algorithm when applied to an optimization problem depends upon several features present or absent in the problem to be solved including the quality of the encoding of data the geometric structure of the search space deception or epistasis This book deals essentially with the latter notion presenting for the first time a complete state of the art research on this notion in a structured completely self contained and methodical way In particular it contains a refresher on the linear algebra used in the text as well as an elementary introductory chapter on genetic algorith
The success of a genetic algorithm when applied to an optimization problem depends upon several features present or absent in the problem to be solved including the quality of the encoding of data the geometric structure of the search space deception or epistasis This book deals essentially with the latter notion presenting for the first time a complete state of the art research on this notion in a structured completely self contained and methodical way In particular it contains a refresher on the linear algebra used in the text as well as an elementary introductory chapter on genetic algorith
Price: $190.22
Download Foundations of Generic Optimization: Volume 1: A Combinatorial Approach to Epistasis (Mathematical Modelling
This book deals essentially with the latter notion, presenting for the first time a complete state-of-the-art research on this notion, in a structured completely self-contained and methodical way. In particular, it contains a refresher on the linear algebra used in the text as well as an elementary introductory chapter on genetic algorithms aimed at readers unacquainted with this notion. In this way, the monograph aims to serve a broad audience consisting of graduate and advanced undergraduate students in mathematics and computer science, as well as researchers working in the domains of optimization, artificial intelligence, theoretical computer science, combinatorics and evolutionary algorithms. Download free Foundations of Generic Optimization: Volume 1: A Combinatorial Approach to Epistasis (Mathematical Modelling: Theory and Applications) pdf
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