The Evolution Of Techniques
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Techniques In Molecular Systematics And Evolution
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Author : Rob DeSalle
language : en
Publisher: Springer Science & Business Media
Release Date : 2002-04-01
Techniques In Molecular Systematics And Evolution written by Rob DeSalle 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 2002-04-01 with Science categories.
The amount of information that can be obtained by using molecular techniques in evolution, systematics and ecology has increased exponentially over the last ten years. The need for more rapid and efficient methods of data acquisition and analysis is growing accordingly. This manual presents some of the most important techniques for data acquisition developed over the last years. The choice and justification of data analysis techniques is also an important and critical aspect of modern phylogenetic and evolutionary analysis and so a considerable part of this volume addresses this important subject. The book is mainly written for students and researchers from evolutionary biology in search for methods to acquire data, but also from molecular biology who might be looking for information on how data are analyzed in an evolutionary context. To aid the user, information on web-located sites is included wherever possible. Approaches that will push the amount of information which systematics will gather in the
Advanced Machine Learning With Evolutionary And Metaheuristic Techniques
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Author : Jayaraman Valadi
language : en
Publisher: Springer Nature
Release Date : 2024-04-22
Advanced Machine Learning With Evolutionary And Metaheuristic Techniques written by Jayaraman Valadi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-22 with Mathematics categories.
This book delves into practical implementation of evolutionary and metaheuristic algorithms to advance the capacity of machine learning. The readers can gain insight into the capabilities of data-driven evolutionary optimization in materials mechanics, and optimize your learning algorithms for maximum efficiency. Or unlock the strategies behind hyperparameter optimization to enhance your transfer learning algorithms, yielding remarkable outcomes. Or embark on an illuminating journey through evolutionary techniques designed for constructing deep-learning frameworks. The book also introduces an intelligent RPL attack detection system tailored for IoT networks. Explore a promising avenue of optimization by fusing Particle Swarm Optimization with Reinforcement Learning. It uncovers the indispensable role of metaheuristics in supervised machine learning algorithms. Ultimately, this book bridges the realms of evolutionary dynamic optimization andmachine learning, paving the way for pioneering innovations in the field.
History Of Techniques Techniques And Civilizations
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Author : Bertrand Gille
language : en
Publisher: Gordon & Breach Science Publishers
Release Date : 1986
History Of Techniques Techniques And Civilizations written by Bertrand Gille and has been published by Gordon & Breach Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Technology & Engineering categories.
The History Of Techniques Vol 2
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Author : Bertrand Gille
language : en
Publisher:
Release Date : 1986
The History Of Techniques Vol 2 written by Bertrand Gille and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Kulturhistorie categories.
Simulating The Evolution Of Language
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Author : Angelo Cangelosi
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Simulating The Evolution Of Language written by Angelo Cangelosi 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 2012-12-06 with Computers categories.
This book is the first to provide a comprehensive survey of the computational models and methodologies used for studying the evolution and origin of language and communication. Comprising contributions from the most influential figures in the field, it presents and summarises the state-of-the-art in computational approaches to language evolution, and highlights new lines of development. Essential reading for researchers and students in the fields of evolutionary and adaptive systems, language evolution modelling and linguistics, it will also be of interest to researchers working on applications of neural networks to language problems. Furthermore, due to the fact that language evolution models use multi-agent methodologies, it will also be of great interest to computer scientists working on multi-agent systems, robotics and internet agents.
Evolutionary Computation And Optimization Algorithms In Software Engineering Applications And Techniques
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Author : Chis, Monica
language : en
Publisher: IGI Global
Release Date : 2010-06-30
Evolutionary Computation And Optimization Algorithms In Software Engineering Applications And Techniques written by Chis, Monica and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-30 with Education categories.
Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques lays the foundation for the successful integration of evolutionary computation into software engineering. It surveys techniques ranging from genetic algorithms, to swarm optimization theory, to ant colony optimization, demonstrating their uses and capabilities. These techniques are applied to aspects of software engineering such as software testing, quality assessment, reliability assessment, and fault prediction models, among others, to providing researchers, scholars and students with the knowledge needed to expand this burgeoning application.
Protein Engineering Techniques
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Author : Krishna Mohan Poluri
language : en
Publisher: Springer
Release Date : 2016-11-12
Protein Engineering Techniques written by Krishna Mohan Poluri and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-12 with Technology & Engineering categories.
This brief provides a broad overview of protein-engineering research, offering a glimpse of the most common experimental methods. It also presents various computational programs with applications that are widely used in directed evolution, computational and de novo protein design. Further, it sheds light on the advantages and pitfalls of existing methodologies and future perspectives of protein engineering techniques.
Advances In Software Engineering Techniques
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Author : Tomasz Szmuc
language : en
Publisher: Springer
Release Date : 2012-04-24
Advances In Software Engineering Techniques written by Tomasz Szmuc and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-24 with Computers categories.
This book constitutes the thoroughly refereed post-conference proceedings of the 4th IFIP TC2 Central and East European Conference on Software Engineering Techniques, CEE-SET 2009, held in Krakow, Poland, in October 2009. The 19 revised full papers presented were carefully reviewed and selected from 63 submissions. The papers are organized in topical sections on software architectures and development; modelling and formal methods in software development; measurements, testing, and quality of software.
The Future Of Life Meta Evolution
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Author : David Hunter Tow
language : en
Publisher: Future of Life: Meta-Evolut
Release Date : 2006-10
The Future Of Life Meta Evolution written by David Hunter Tow and has been published by Future of Life: Meta-Evolut this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-10 with Science categories.
The Future of Life: Meta-Evolution represents the first comprehensive formulation of the hypothesis that evolution is the unifying force underlying the dynamics of all processes in the universe, both organic and inorganic. These include all facets of human existence and civilisation- the sciences, technology, arts, humanities and religion. In essence, by applying quantum information, network and decision theory, it is demonstrated that an overarching evolutionary process shapes the spectrum of life and phenomena in the universe, as a generic paradigm beyond Darwin's original biology-based theory. The Theory of Evolution is undoubtedly the most powerful paradigm ever conceived by humans to explain their own existence. Since Darwin´s epoch-making treatise, Origin of Species', published in 1859, evolution has been centre-stage, universally recognised as the driving force in the emergence of modern humans from the genesis of life on this planet almost 4 billion years ago. However, despite its ubiquitous brilliance as the jewel in the crown of human intellectual achievement, the notion of evolution has never been developed to its full potential. It remains instead constrained within its biological cradle, often reduced in everyday connotation to its lowest common denominator of ´survival of the fittest´. The intention of this book to re-evaluate and expand the Darwinian model of evolution; to demonstrate that its current application is only the tip of the intellectual iceberg and that by combining its formidable biological principles with those of decision complexity, network, quantum and information theory, it emerges as an incalculably deeper and richer model than previously contemplated. It will be demonstrated that the evolutionary engine which drives biological development, also drives all other dynamic adaptive processes- the physical, social, cognitive, economic, political and technological and is in fact the major dynamic governing the Universe, past present and future. It is further proposed to demonstrate that recent developments in artificial intelligence and ubiquitous computing through the Internet, mark the next crucial stage in life's evolution, involving the inevitable symbiosis of vast computational intelligence with the human mind. The major hypothesis developed in this book, of a global all-encompassing Theory of Evolution, coupled with its potential for realising the emancipation of human intelligence and potential, provides a vastly more powerful paradigm for exploring the Future of Life than current scientific scenarios. The resulting Omega state of infinite knowledge and wisdom which is proposed, has been actively championed by a number of eminent 19th and 20th century philosophers such as Teillhard de Chardin, Henri Bergson, Schelling, Alfred Whitehead, Samuel Alexander and more recently by the leading physicist and futurist- Professor Frank Tipler. However to date no equivalent scientific framework for supporting such a hypothesis has been provided. In conclusion, The Future of Life: Meta-Evolution has been written not as an academic text but as primarily a non-technical review of the evidence to support such a hypothesis, in much the same vein as other recent publications in the popular science/philosophy genre. It is hoped that this approach will therefore provide a window into the wider evolutionary debate for the general reader interested in one of the most critical emerging paradigm shifts of the 21st century.
Evolutionary Algorithms In Engineering Applications
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Author : Dipankar Dasgupta
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29
Evolutionary Algorithms In Engineering Applications written by Dipankar Dasgupta 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 2013-06-29 with Computers categories.
Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the applications of evolutionary algorithms. The volume consists of five parts, each with four or five chapters. The topics are chosen to emphasize application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains.