Implementation and Analysis of Genetic Algorithm for Molecular Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Implementation and Analysis of Genetic Algorithm for Molecular Modeling write by Rasmi M. Moan. This book was released on 2004. Implementation and Analysis of Genetic Algorithm for Molecular Modeling available in PDF, EPUB and Kindle.
Genetic Algorithms in Molecular Modeling
Genetic Algorithms in Molecular Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Genetic Algorithms in Molecular Modeling write by James Devillers. This book was released on 1996-06-07. Genetic Algorithms in Molecular Modeling available in PDF, EPUB and Kindle. Genetic Algorithms in Molecular Modeling is the first book available on the use of genetic algorithms in molecular design. This volume marks the beginning of an ew series of books, Principles in Qsar and Drug Design, which will be an indispensible reference for students and professionals involved in medicinal chemistry, pharmacology, (eco)toxicology, and agrochemistry. Each comprehensive chapter is written by a distinguished researcher in the field. Through its up to the minute content, extensive bibliography, and essential information on software availability, this book leads the reader from the theoretical aspects to the practical applications. It enables the uninitiated reader to apply genetic algorithms for modeling the biological activities and properties of chemicals, and provides the trained scientist with the most up to date information on the topic. Extremely topical and timely Sets the foundations for the development of computer-aided tools for solving numerous problems in QSAR and drug design Written to be accessible without prior direct experience in genetic algorithms
An Introduction to Genetic Algorithms
An Introduction to Genetic Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook An Introduction to Genetic Algorithms write by Melanie Mitchell. This book was released on 1998-03-02. An Introduction to Genetic Algorithms available in PDF, EPUB and Kindle. Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics—particularly in machine learning, scientific modeling, and artificial life—and reviews a broad span of research, including the work of Mitchell and her colleagues. The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting "general purpose" nature of genetic algorithms as search methods that can be employed across disciplines. An Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text. The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation.
Evolutionary Algorithms in Molecular Design
Evolutionary Algorithms in Molecular Design - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Evolutionary Algorithms in Molecular Design write by David E. Clark. This book was released on 2008-11-21. Evolutionary Algorithms in Molecular Design available in PDF, EPUB and Kindle. When trying to find new methods and problem-solving strategies for their research, scientists often turn to nature for inspiration. An excellent example of this is the application of Darwin's Theory of Evolution, particularly the notion of the 'survival of the fittest', in computer programs designed to search for optimal solutions to many kinds of problems. These 'evolutionary algorithms' start from a population of possible solutions to a given problem and, by applying evolutionary principles, evolve successive generations with improved characteristics until an optimal, or near-optimal, solution is obtained. This book highlights the versatility of evolutionary algorithms in areas of relevance to molecular design with a particular focus on drug design. The authors, all of whom are experts in their field, discuss the application of these computational methods to a wide range of research problems including conformational analysis, chemometrics and quantitative structure-activity relationships, de novo molecular design, chemical structure handling, combinatorial library design, and the study of protein folding. In addition, the use of evolutionary algorithms in the determination of structures by X-ray crystallography and NMR spectroscopy is also covered. These state-of-the-art reviews, together with a discussion of new techniques and future developments in the field, make this book a truly valuable and highly up-to-date resource for anyone engaged in the application or development of computer-assisted methods in scientific research.
DNA Computing Based Genetic Algorithm
DNA Computing Based Genetic Algorithm - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook DNA Computing Based Genetic Algorithm write by Jili Tao. This book was released on 2020-07-01. DNA Computing Based Genetic Algorithm available in PDF, EPUB and Kindle. This book focuses on the implementation, evaluation and application of DNA/RNA-based genetic algorithms in connection with neural network modeling, fuzzy control, the Q-learning algorithm and CNN deep learning classifier. It presents several DNA/RNA-based genetic algorithms and their modifications, which are tested using benchmarks, as well as detailed information on the implementation steps and program code. In addition to single-objective optimization, here genetic algorithms are also used to solve multi-objective optimization for neural network modeling, fuzzy control, model predictive control and PID control. In closing, new topics such as Q-learning and CNN are introduced. The book offers a valuable reference guide for researchers and designers in system modeling and control, and for senior undergraduate and graduate students at colleges and universities.
