مجموعة كتب فى Genetic Algorithm

محب الله ورسوله · #1 (**permalink**) 28-08-2006, 11:01 AM

اقتباس:

المشاركة الأصلية كتبت بواسطة إسلام

هذا الكتاب بعينه مهم جداً، لأنه تم فيه نشر طريقة للـ Optimization لأول مرة عام 1975 اسمها Genetic Algorithm فلطالما بحثت عنه و مازلت

السلام عليكم ورحمة الله وبركاته أخى اسلام
الى أن يوفقنى الله فى ايجاد :
Adaptation in Natural and Artificial Systems
Holland, J. H. (1975) . MIT Press
اليك هذه المجموعه من الكتب التى تناقش Genetic Algorithm وأرجوا أن تكون ذات فائده
ولاتقلق جارى البحث والله الموفق

محب الله ورسوله · #2 (**permalink**) 28-08-2006, 11:03 AM

ISBN: 0849325293
Author: Lance Chambers
Publisher: CRC-Press
URL: /http://www.amazon.com/exec/obidos/redirect?tag=songstech-20&path=ASIN%2F0849325293
Summary:
The mathematics employed by genetic algorithms (GAs)are among the most exciting discoveries of the last few decades. But what exactly is a genetic algorithm? A genetic algorithm is a problem-solving method that uses genetics as its model of problem solving. It applies the rules of reproduction, gene crossover, and mutation to pseudo-organisms so those "organisms" can pass beneficial and survival-enhancing traits to new generations. GAs are useful in the selection of parameters to optimize a system's performance. A second potential use lies in testing and fitting quantitative models. Unlike any other book available, this interesting new text/reference takes you from the construction of a simple GA to advanced implementations. As you come to understand GAs and their processes, you will begin to understand the power of the genetic-based problem-solving paradigms that lie behind them.The Practical Handbook of Genetic Algorithms presents for the first time new areas of research and implementation. Problems that for many have been considered intractable are shown to be solvable using the techniques described in this work. Specific solution descriptions to real-world problems are provided, or use these as examples to develop solutions to unique problems.Volume II picks up where the first book leaves off and presents the topic from more of an applications point of view. The focus of the book is to show the reader how to develop their own genetic algorithm coding schemes and how and when to employ the GA to solve problems

http://rapidshare.de/files/5843177/DLCambers.rar.html
أو
http://www.freefilespace.net/index.php?id=91

كود:

 
Password: www.AvaxHome.ru

محب الله ورسوله · #3 (**permalink**) 28-08-2006, 11:04 AM

ISBN: 0849325390
Author: Lance D. Chambers
Publisher: CRC Press
URL: /http://www.amazon.com/exec/obidos/redirect?tag=songstech-20&path=ASIN%2F0849325390
Summary:
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 segmentsodocumentationodescription of the operations performedorationale for the chosen approachoproblems the code overcomes or addressesPractical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems complements the first two volumes in the series by offering examples of computer code. The first two volumes dealt with new research and an overview of the types of applications that could be taken with GAs. This volume differs from its predecessors by specifically concentrating on specific functions in genetic algorithms, serving as the only compilation of useful and usable computer code in the field

http://rapidshare.de/files/5843177/DLCambers.rar.html
أو
http://www.freefilespace.net/index.php?id=91

كود:

Password: www.AvaxHome.ru

محب الله ورسوله · #4 (**permalink**) 28-08-2006, 11:06 AM

Genetic Algorithms + Data Structures = Evolution Programs

Summary
Zbigniew Michalewicz's Genetic Algorithms + Data Structures = Evolution Programs has three sections. The first section is a straightforward introduction to genetic algorithms. In the second section, Michalewicz describes how to apply genetic algorithms to numerical optimization. Michalewicz, who is a pioneer in this field, discusses the rationale for using genetic algorithms for numerical optimization and describes several experiments that show how this new type of genetic algorithm performs. The author devotes the third section of the book to evolution programs

http://rapidshare.de/files/25010754/...ewicz.pdf.html
أو
http://www.uploading.com/?get=T0P2FCEB

محب الله ورسوله · #5 (**permalink**) 28-08-2006, 11:09 AM

Optimization
(Springer Texts in Statistics)
by Kenneth Lange

Book Description
Finite-dimensional optimization problems occur throughout the mathematical sciences. The majority of these problems cannot be solved analytically. This introduction to optimization attempts to strike a balance between presentation of mathematical theory and development of numerical algorithms. Building on studentsâ?? skills in calculus and linear algebra, the text provides a rigorous exposition without undue abstraction. Its stress on convexity serves as bridge between linear and nonlinear programming and makes it possible to give a modern exposition of linear programming based on the interior point method rather than the simplex method. The emphasis on statistical applications will be especially appealing to graduate students of statistics and biostatistics. The intended audience also includes graduate students in applied mathematics, computational biology, computer science, economics, and physics as well as upper division undergraduate majors in mathematics who want to see rigorous mathematics combined with real applications. Chapter 1 reviews classical methods for the exact solution of optimization problems. Chapters 2 and 3 summarize relevant concepts from mathematical analysis. Chapter 4 presents the Karush-Kuhn-Tucker conditions for optimal points in constrained nonlinear programming. Chapter 5 discusses convexity and its implications in optimization. Chapters 6 and 7 introduce the MM and the EM algorithms widely used in statistics. Chapters 8 and 9 discuss Newtonâ??s method and its offshoots, quasi-Newton algorithms and the method of conjugate gradients. Chapter 10 summarizes convergence results, and Chapter 11 briefly surveys convex programming, duality, and Dykstraâ??s algorithm. Kenneth Lange is the Rosenfeld Professor of Computational Genetics in the Departments of Biomathematics and Human Genetics at the UCLA School of Medicine. He is also Interim Chair of the Department of Human Genetics. At various times during his career, he has held appointments at the University of New Hampshire, MIT, Harvard, the University of Michigan, and the University of Helsinki. While at the University of Michigan, he was the Pharmacia & Upjohn Foundation Professor of Biostatistics. His research interests include human genetics, population modeling, biomedical imaging, computational statistics, and applied stochastic processes. Springer-Verlag previously published his books Mathematical and Statistical Methods for Genetic Analysis, 2nd ed., Numerical Analysis for Statisticians, and Applied Probability

http://rapidshare.de/files/8620157/0...ation.rar.html

محب الله ورسوله · #6 (**permalink**) 28-08-2006, 11:12 AM

As genetic algorithms (GAs) become increasingly popular, they are applied to difficult problems that may require considerable computations. In such cases, parallel implementations of GAs become necessary to reach high-quality solutions in reasonable times. But, even though their mechanics are simple, parallel GAs are complex non-linear algorithms that are controlled by many parameters, which are not well understood. Efficient and Accurate Parallel Genetic Algorithms is about the design of parallel GAs. It presents theoretical developments that improve our understanding of the effect of the algorithm's parameters on its search for quality and efficiency. These developments are used to formulate guidelines on how to choose the parameter values that minimize the execution time while consistently reaching solutions of high quality. Efficient and Accurate Parallel Genetic Algorithms can be read in several ways, depending on the readers' interests and their previous knowledge about these algorithms. Newcomers to the field will find the background material in each chapter useful to become acquainted with previous work, and to understand the problems that must be faced to design efficient and reliable algorithms. Potential users of parallel GAs that may have doubts about their practicality or reliability may be more confident after reading this book and understanding the algorithms better. Those who are ready to try a parallel GA on their applications may choose to skim through the background material, and use the results directly without following the derivations in detail. These readers will find that using the results can help them to choose the type of parallel GA that best suits their needs, without having to invest the time to implement and test various options. Once that is settled, even the most experienced users dread the long and frustrating experience of configuring their algorithms by trial and error. The guidelines contained herein will shorten dramatically the time spent tweaking the algorithm, although some experimentation may still be needed for fine-tuning. Efficient and Accurate Parallel Genetic Algorithms is suitable as a secondary text for a graduate level course, and as a reference for researchers and practitioners in industry

http://sr2.mytempdir.com/123757
أو
http://rapidshare.de/files/4161765/ECantu-Paz.rar.html

كود:

Password: www.AvaxHome.ru

محب الله ورسوله · #7 (**permalink**) 28-08-2006, 11:14 AM

Evolutionary Algorithms in Theory and Practice : Evolution Strategies, Evolutionary Programming, Genetic Algorithms

Summary
This book presents a unified view of evolutionary algorithms: the exciting new probabilistic search tools inspired by biological models that have immense potential as practical problem-solvers in a wide variety of settings, academic, commercial, and industrial. In this work, the author
compares the three most prominent representatives of evolutionary algorithms: genetic algorithms, evolution strategies, and evolutionary programming. The algorithms are presented within a unified framework, thereby clarifying the similarities and differences of these methods. The author also
presents new results regarding the role of mutation and selection in genetic algorithms, showing how mutation seems to be much more important for the performance of genetic algorithms than usually assumed. The interaction of selection and mutation, and the impact of the binary code are further
topics of interest. Some of the theoretical results are also confirmed by performing an experiment in meta-evolution on a parallel computer. The meta-algorithm used in this experiment combines components from evolution strategies and genetic algorithms to yield a hybrid capable of handling mixed
integer optimization problems. As a detailed description of the algorithms, with practical guidelines for usage and implementation, this work will interest a wide range of researchers in computer science and engineering disciplines, as well as graduate students in these fields

http://rapidshare.de/files/25012736/...Back.djvu.html

محب الله ورسوله · #8 (**permalink**) 28-08-2006, 11:17 AM

Rapid developments in the field of genetic algorithms along with the popularity of the first edition precipitated this completely revised, thoroughly updated second edition of The Practical Handbook of Genetic Algorithms. Like its predecessor, this edition helps practitioners stay up to date on recent developments in the field and provides material they can use productively in their own endeavors. For this edition, the editor again recruited authors at the top of their field and from a cross section of academia and industry, theory and practice. Their contributions detail their own research, new applications, experiment results, and recent advances. Among the applications explored are scheduling problems, optimization, multidimensional scaling, constraint handling, and feature selection and classification. The science and art of GA programming and application has come a long way in the five years since publication of the bestselling first edition. But there still is a long way to go before its bounds are reached-we are still just scratching the surface of GA applications and refinements. By introducing intriguing new applications, offering extensive lists of code, and reporting advances both subtle and dramatic, The Practical Handbook of Genetic Algorithms is designed to help readers contribute to scratching that surface a bit deeper.

The mathematics employed by genetic algorithms (GAs)are among the most exciting discoveries of the last few decades. But what exactly is a genetic algorithm? A genetic algorithm is a problem-solving method that uses genetics as its model of problem solving. It applies the rules of reproduction, gene crossover, and mutation to pseudo-organisms so those "organisms" can pass beneficial and survival-enhancing traits to new generations. GAs are useful in the selection of parameters to optimize a system's performance. A second potential use lies in testing and fitting quantitative models. Unlike any other book available, this interesting new text/reference takes you from the construction of a simple GA to advanced implementations. As you come to understand GAs and their processes, you will begin to understand the power of the genetic-based problem-solving paradigms that lie behind them.The Practical Handbook of Genetic Algorithms presents for the first time new areas of research and implementation. Problems that for many have been considered intractable are shown to be solvable using the techniques described in this work. Specific solution descriptions to real-world problems are provided, or use these as examples to develop solutions to unique problems.Volume II picks up where the first book leaves off and presents the topic from more of an applications point of view. The focus of the book is to show the reader how to develop their own genetic algorithm coding schemes and how and when to employ the GA to solve problems.

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 segmentsodocumentationodescription of the operations performedorationale for the chosen approachoproblems the code overcomes or addressesPractical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems complements the first two volumes in the series by offering examples of computer code. The first two volumes dealt with new research and an overview of the types of applications that could be taken with GAs. This volume differs from its predecessors by specifically concentrating on specific functions in genetic algorithms, serving as the only compilation of useful and usable computer code in the field

http://www.freefilespace.net/index.php?id=91
Password: www.AvaxHome.ru
أو
http://rapidshare.de/files/5843177/DLCambers.rar.html
Password: www.AvaxHome.ru

إسلام · #9 (**permalink**) 28-08-2006, 12:52 PM

أخي الكريم محب الله و رسوله...
الحمد لله أن وفقني لألقى أخ مثلك، لقد أمددتني بكتب مهمة في الموضوع بارك الله فيكم.
أحبك في الله..

لك مني أطيب الأمنيات بالخير، و لك من الشكر جزيله و أطيبه..

و السلام عليكم و رحمة الله و بركاته...

إسلام · #10 (**permalink**) 28-08-2006, 01:45 PM

طلب آخر، أعلم أني أثقل عليك...

هذا الكتاب
"Simulation and analysis of GAS Networks" by A. J. Osiadacz, 1987 Gulf Publishing Co.
إن وجد.. لا تتعب نفسك إن لم يكن موجوداً.
بورك فيكم و في عملكم

محب الله ورسوله · #11 (**permalink**) 29-08-2006, 12:00 AM

الأخ اسلام
أحبك الذي أحببتني فيه
وجزاك بمثله .

محب الله ورسوله · #12 (**permalink**) 29-08-2006, 12:17 AM

اقتباس:

المشاركة الأصلية كتبت بواسطة إسلام

طلب آخر، أعلم أني أثقل عليك...

هذا الكتاب
"Simulation and analysis of GAS Networks" by A. J. Osiadacz, 1987 Gulf Publishing Co.
إن وجد.. لا تتعب نفسك إن لم يكن موجوداً.
بورك فيكم و في عملكم

تفضل :
http://www.psig.org/papers/1990/9410...ishing%20Co%22

http://www.aedie.org/9CHLIE-paper-se...ishing%20Co%22

إسلام · #13 (**permalink**) 29-08-2006, 06:22 AM

بورك فيكم...

الحقيقة هذان الكتابان عندي، بورك فيك... و ليس واحد منهما ما أقصد..
لا تكلف نفس مزيد من العناء، بارك الله فيكم، و أجزل لكم الثواب و العطاء.
الله يبارك في جهدك و عملك إنه ولي ذلك و القادر عليه.
أشكر الله ثم أشكرك ، و السلام عليكم و رحمة الله و بركاته.
أخوكم.

إسلام · #14 (**permalink**) 30-08-2006, 11:36 AM

ممكن أثقل عليك مرة أخرى؟؟؟

ممكن كتب عن الـــDynamic Programming ؟؟؟

أنا الحقيقة باستخمها في الماجستير، فكل مدة باضطر اني أطلب كتب تساعدني.... عذراً

Eng-Maher · #15 (**permalink**) 30-08-2006, 01:27 PM

جميل منا ان نتعاون مع بعض البعض ولاحظت ان التعاون اثمر ب ود جميل بين الاعضاء بارك الله فيكم.

أدوات الموضوع
مشاهدة صفحة طباعة الموضوع أرسل هذا الموضوع إلى صديق
تقييم هذا الموضوع
تقييم هذا الموضوع: