Parallel Genetic Algorithms

The Boolean network (BN) is a mathematical model of genetic networks and other biological networks. Although extensive studies have been done on BNs from a viewpoint of complex systems, not so many st

The advent of multi-core architectures and cloud-computing has brought parallel programming into the mainstream of software development. Unfortunately, writing scalable parallel programs using traditi

This book describes how evolutionary algorithms (EA), including genetic algorithms (GA) and particle swarm optimization (PSO) can be utilized for solving multi-objective optimization problems in the a

High Performance Deformable Image Registration Algorithms for Manycore Processors develops highly data-parallel image registration algorithms suitable for use on modern multi-core architectures, inclu

This book constitutes the symposia and workshops of the 10th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP. Each of the sympois and workshops focuses on a pa

Manufacturing systems, regardless of their size, have to work with scarce resources in dynamic environments. Managers are asked to assign production facilities over time to parallel activities respec

Evolutionary computation, a broad field that includes genetic algorithms, evolution strategies, and evolutionary programming, has proven to offer well-suited techniques for industrial and management t

Iterative Computer Algorithms with Applications in Engineering describes in-depth the five main iterative algorithms for solving hard combinatorial optimization problems: Simulated Annealing, Genetic

Experts from the world's major financial institutions contributed to this work and have already used the newest technologies. Gives proven strategies for using neural networks, algorithms, fuzzy logic

The main focus is on the development of parallel algorithms on massively parallel computers, although some architectural issues are addressed. SIMD parallel algorithms are discussed in several general

Since the publication of the first edition, parallel computing technology has gained considerable momentum. A large proportion of this has come from the improvement in VLSI techniques, offering one to

Developing applications that scale well on massively parallel architectures is quite difficult, due to problems with synchronization and communication time as well as fault tolerance. This book review

This new volume addresses the growing interest in and use of big data analytics in many industries and in many research fields around the globe; it is a comprehensive resource on the core concepts of big data analytics and the tools, techniques, and methodologies. The book gives the why and the how of big data analytics in an organized and straightforward manner, using both theoretical and practical approaches.The book's authors have organized the contents in a systematic manner, starting with an introduction and overview of big data analytics and then delving into pre-processing methods, feature selection methods and algorithms, big data streams, and big data classification. Such terms and methods as swarm intelligence, data mining, the bat algorithm and genetic algorithms, big data streams, and many more are discussed. The authors explain how deep learning and machine learning along with other methods and tools are applied in big data analytics. The last section of the book presents

There is not just a desire but a profound human need for enhancement - the irrepressible yearning to become better than ourselves. Today, enhancement is often conceived of in terms of biotechnical intervention: genetic modification, prostheses, implants, drug therapy - even mind uploading. The theme of this book is an ancient form of enhancement: a physical upgrade that involves ethical practices of self-realization. It has been called 'angelification' - a transformation by which people become angels. The parallel process is 'daimonification', or becoming daimones. Ranging in time from Hesiod and Empedocles through Plato and Origen to Plotinus and Christian gnostics, this book explores not only how these two forms of posthuman transformation are related, but also how they connect and chasten modern visions of transhumanist enhancement which generally lack a robust account of moral improvement.

Recursion and self-embedding are at the heart of our ability to formulate our thoughts, articulate our imagination and share with other human beings. Nonetheless, controversy exists over the extent to which recursion is shared across all domains of syntax. A collection of 18 studies are presented here on the central linguistic property of recursion, examining a range of constructions in over a dozen languages representing great areal, typological and genetic diversity and spanning wide latitudes. The volume expands the topic to include prepositional phrases, possessives, adjectives, and relative clauses - our many vehicles to express creative thought - to provide a critical perspective on claims about how recursion connects to broader aspects of the mind. Parallel explorations across language families, literate and non-literate societies, children and adults are investigated and constitutes a new step in the generative tradition by simultaneously focusing on formal theory, acquisition

Recursion and self-embedding are at the heart of our ability to formulate our thoughts, articulate our imagination and share with other human beings. Nonetheless, controversy exists over the extent to which recursion is shared across all domains of syntax. A collection of 18 studies are presented here on the central linguistic property of recursion, examining a range of constructions in over a dozen languages representing great areal, typological and genetic diversity and spanning wide latitudes. The volume expands the topic to include prepositional phrases, possessives, adjectives, and relative clauses - our many vehicles to express creative thought - to provide a critical perspective on claims about how recursion connects to broader aspects of the mind. Parallel explorations across language families, literate and non-literate societies, children and adults are investigated and constitutes a new step in the generative tradition by simultaneously focusing on formal theory, acquisition

The bestselling author of The Accidental Billionaires and The 37th Parallel tells the fascinating Jurassic Park­-like story of the genetic restoration of an extinct species—the woolly mammo

Soft computing methods such as neural networks and genetic algorithms draw on the problem solving strategies of the natural world which differ fundamentally from the mathematically-based computing met

Written with the MRCOG examination requirements at its core, this book offers an extensive and up-to-date review of the full range of gynaecological cancers. The principles of epidemiology, imaging and treatment modalities are presented in a succinct and clinically focused manner. Each gynaecological cancer features in a stand-alone chapter, incorporating information on clinical issues, staging and principles of management. Genetic conditions and surgical principles are analysed, as well as topics such as palliative care, holistic approaches and communication. RCOG guidelines and Scientific Advisory Committee advice feature throughout the book. While authoritative and factual, the text is concise and clear. Flow-charts and diagrams support the assimilation of complex information, while practical tips, management algorithms, and clinical images enhance each chapter. Essential for those preparing for the MRCOG examination, this book is a comprehensive resource for health professionals wo

This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements. Making task-appropriate algorithm and platform choices for large-scale machine learning requires understanding the benefits, trade-offs and constraints of the available options. Solutions presented in the book cover a range of parallelization platforms from FPGAs and GPUs to multi-core systems and commodity clusters, concurrent programming frameworks including CUDA, MPI, MapReduce and DryadLINQ, and learning settings (supervised, unsupervised, semi-supervised and online learning). Extensive coverage of parallelization of boosted trees, SVMs, spectral clustering, belief propagation and other popular learning algo

"This book explores the various methods for inventory control and management using optimization techniques, data mining concepts and genetic algorithms. It explores how inventory control and managemen

The bestselling author of The Accidental Billionaires and The 37th Parallel tells the fascinating Jurassic Park­-like story of the genetic restoration of an extinct species—the woolly mammoth. “Pa

A much-needed comprehensive resource, Endocrine Pathology covers clinical, radiologic, biochemical, molecular, cytogenetic, immunologic and histopathologic aspects of endocrine disorders, including the full spectrum of both neoplastic and non-neoplastic lesions. The first section of the book provides an overview of the clinical presentations of endocrine diseases, while the second section reviews the wide variety of investigative techniques used in their diagnosis. The third and largest section provides a comprehensive tissue- and organ-based approach to the diagnosis of endocrine disorders, including morphologic, genetic and proteomic features with clinicopathologic correlations. All chapters are richly illustrated with numerous color images, tables and algorithms, and the book is packaged with a password, giving the user online access to all text and images. Written and edited by the world's leading experts, this comprehensive and up-to-date book is the definitive resource on endocri

The field of human genetics has witnessed tremendous acceleration in the last decade. The parallel advances in genotyping and sequencing technology, our understanding of human genetic variation, and t

This book is primarily intended as a research monograph that could also be used in graduate courses for the design of parallel algorithms in matrix computations.It assumes general but not extensive kn

This book focuses on architecture and implementation of algorithms, specifically on their real-time and causal processing implementation, architectures of FPGA design and parallel processing. It conc

Efficient Learning Machines explores all the major topics of machine learning, including big data, knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and gami

IAU Symposium 309 contains contributions on the timely theme of spatially and energetically resolved properties of galaxies. New technologies in 3D spectroscopy in the optical and near-infrared regimes, and radio interferometry, allow for the first time the efficient mapping of stars, gas and dust in galaxies near and far. This volume demonstrates how detailed measurements of individual objects are complemented by surveys aiming at a full census of galaxies across the local Universe. Reaching out to the limits of the Universe, the evolution of spatially resolved properties is traced throughout our whole cosmic history. In parallel with this, new computer technology and highly advanced algorithms are exploited for detailed simulations to probe the underlying physical and cosmological connections. This volume benefits astronomers and graduate students working in areas relating to galaxy formation and evolution, star formation, dust and stellar populations.

Domain decomposition (DD) methods provide powerful tools for constructing parallel numerical solution algorithms for large scale systems of algebraic equations arising from the discretization of parti

Single and Multi-Objective Evolutionary Computation (MOEA), Genetic Algorithms (GAs), Artificial Neural Networks (ANNs), Fuzzy Controllers (FCs), Particle Swarm Optimization (PSO) and Ant colony Optim

This book covers up-to-date methods and algorithms for the automated analysis of engineering drawings and digital cartographic maps. The Non-Deterministic Agent System (NDAS) offers a parallel computa

This work fills the gap for a comprehensive reference conveying the developments in global optimization of atomic structures using genetic algorithms. Over the last few decades, such algorithms based

This book presents a new computational finance approach combining a Symbolic Aggregate approximation (SAX) technique with an optimization kernel based on genetic algorithms (GA). While the SAX represe