Probabilistic Structures in Evolution
Author: Ellen Baake
Publisher:
Published: 2021
Total Pages:
ISBN-13: 9783985475056
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Networks
Author: Peter Whittle
Publisher: Cambridge University Press
Published: 2007-04-12
Total Pages:
ISBN-13: 1139463136
DOWNLOAD EBOOKPoint-to-point vs. hub-and-spoke. Questions of network design are real and involve many billions of dollars. Yet little is known about optimising design - nearly all work concerns optimising flow assuming a given design. This foundational book, first published in 2007, tackles optimisation of network structure itself, deriving comprehensible and realistic design principles. With fixed material cost rates, a natural class of models implies the optimality of direct source-destination connections, but considerations of variable load and environmental intrusion then enforce trunking in the optimal design, producing an arterial or hierarchical net. Its determination requires a continuum formulation, which can however be simplified once a discrete structure begins to emerge. Connections are made with the masterly work of Bendsøe and Sigmund on optimal mechanical structures and also with neural, processing and communication networks, including those of the Internet and the World Wide Web. Technical appendices are provided on random graphs and polymer models and on the Klimov index.
Genetic Algorithms + Data Structures = Evolution Programs
Author: Zbigniew Michalewicz
Publisher: Springer Science & Business Media
Published: 2013-06-29
Total Pages: 257
ISBN-13: 3662028301
DOWNLOAD EBOOK'What does your Master teach?' asked a visitor. 'Nothing,' said the disciple. 'Then why does he give discourses?' 'He only points the way - he teaches nothing.' Anthony de Mello, One Minute Wisdom During the last three decades there has been a growing interest in algorithms which rely on analogies to natural processes. The emergence of massively par allel computers made these algorithms of practical interest. The best known algorithms in this class include evolutionary programming, genetic algorithms, evolution strategies, simulated annealing, classifier systems, and neural net works. Recently (1-3 October 1990) the University of Dortmund, Germany, hosted the First Workshop on Parallel Problem Solving from Nature [164]. This book discusses a subclass of these algorithms - those which are based on the principle of evolution (survival of the fittest). In such algorithms a popu lation of individuals (potential solutions) undergoes a sequence of unary (muta tion type) and higher order (crossover type) transformations. These individuals strive for survival: a selection scheme, biased towards fitter individuals, selects the next generation. After some number of generations, the program converges - the best individual hopefully represents the optimum solution. There are many different algorithms in this category. To underline the sim ilarities between them we use the common term "evolution programs" .
Understanding Evolution
Author: Kostas Kampourakis
Publisher: Cambridge University Press
Published: 2014-04-03
Total Pages: 275
ISBN-13: 1107034914
DOWNLOAD EBOOKBringing together conceptual obstacles and core concepts of evolutionary theory, this book presents evolution as straightforward and intuitive.
Probabilistic Modeling in Bioinformatics and Medical Informatics
Author: Dirk Husmeier
Publisher: Springer Science & Business Media
Published: 2006-05-06
Total Pages: 511
ISBN-13: 1846281199
DOWNLOAD EBOOKProbabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.
Darwin's Doubt
Author: Stephen C. Meyer
Publisher: Harper Collins
Published: 2013-06-18
Total Pages: 605
ISBN-13: 0062071491
DOWNLOAD EBOOKWhen Charles Darwin finished The Origin of Species, he thought that he had explained every clue, but one. Though his theory could explain many facts, Darwin knew that there was a significant event in the history of life that his theory did not explain. During this event, the “Cambrian explosion,” many animals suddenly appeared in the fossil record without apparent ancestors in earlier layers of rock. In Darwin’s Doubt, Stephen C. Meyer tells the story of the mystery surrounding this explosion of animal life—a mystery that has intensified, not only because the expected ancestors of these animals have not been found, but because scientists have learned more about what it takes to construct an animal. During the last half century, biologists have come to appreciate the central importance of biological information—stored in DNA and elsewhere in cells—to building animal forms. Expanding on the compelling case he presented in his last book, Signature in the Cell, Meyer argues that the origin of this information, as well as other mysterious features of the Cambrian event, are best explained by intelligent design, rather than purely undirected evolutionary processes.
Probabilistic Mechanics of Quasibrittle Structures
Author: Zdenek P. Bazant
Publisher: Cambridge University Press
Published: 2017-05-25
Total Pages: 319
ISBN-13: 1107151708
DOWNLOAD EBOOKThis book presents an experimentally validated probabilistic strength theory of structures made of concrete, composites, ceramics and other quasibrittle materials.
Optimal Reliability-Based Design of Structures Against Several Natural Hazards
Author: Alfredo H-S Ang
Publisher: CRC Press
Published: 2021-08-10
Total Pages: 71
ISBN-13: 1000461823
DOWNLOAD EBOOKInterest in the topic of structural reliability and optimal design has been rapidly growing in recent years. Besides, the field of numerical methods and artificial intelligence is experiencing a surge of new methods and the refinement of existing ones to expand opportunities to apply robust formulations to complex engineering problems. Today, more than ever, the field is receiving fresh ideas on how to face the challenges of finding a balance between cost and benefits that may lead towards the optimal design of systems. Recently, the probability density evolution method (PDEM) was proposed by Prof. Jie Li as an alternative way to obtain the stochastic and dynamic solution of the safety level of engineering systems under any kind of hazard. This work deals with the application of this powerful method to derive optimal design recommendations for large engineering systems under natural hazards. The three case studies illustrate to engineers and academic specialists how to strike a cost-effective balance in designing such systems.
Evolutionary Genomics
Author: Maria Anisimova
Publisher: Humana Press
Published: 2012-03-08
Total Pages: 556
ISBN-13: 9781617795848
DOWNLOAD EBOOKTogether with early theoretical work in population genetics, the debate on sources of genetic makeup initiated by proponents of the neutral theory made a solid contribution to the spectacular growth in statistical methodologies for molecular evolution. Evolutionary Genomics: Statistical and Computational Methods is intended to bring together the more recent developments in the statistical methodology and the challenges that followed as a result of rapidly improving sequencing technologies. Presented by top scientists from a variety of disciplines, the collection includes a wide spectrum of articles encompassing theoretical works and hands-on tutorials, as well as many reviews with key biological insight. Volume 2 begins with phylogenomics and continues with in-depth coverage of natural selection, recombination, and genomic innovation. The remaining chapters treat topics of more recent interest, including population genomics, -omics studies, and computational issues related to the handling of large-scale genomic data. Written in the highly successful Methods in Molecular BiologyTM series format, this work provides the kind of advice on methodology and implementation that is crucial for getting ahead in genomic data analyses. Comprehensive and cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a treasure chest of state-of the-art methods to study genomic and omics data, certain to inspire both young and experienced readers to join the interdisciplinary field of evolutionary genomics.
Evolutionary Biology
Author: Pierre Pontarotti
Publisher: Springer
Published: 2016-09-20
Total Pages: 412
ISBN-13: 3319413244
DOWNLOAD EBOOKThis book presents selected contributions to the 19th Evolutionary Biology Meeting, which took place in September 2015 in Marseille. It consists of 22 chapters, which are grouped in four sections: · Convergent Evolution · Evolution of Complex Traits · Concepts · Methods The annual Evolutionary Biology Meetings in Marseille serve to gather leading evolutionary biologists and other scientists using evolutionary biology concepts, e.g for medical research, to promote the exchange of ideas and to encourage interdisciplinary collaborations. Offering an up-to-date overview of recent findings in the field of evolutionary biology, this book is an invaluable source of information for scientists, teachers and advanced students.
