Scalable Optimization Via Probabilistic Modeling

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Scalable Optimization via Probabilistic Modeling

Author : Martin Pelikan
Publisher : Springer
ISBN 13 : 3540349545
Total Pages : 363 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Scalable Optimization via Probabilistic Modeling by : Martin Pelikan

Download or read book Scalable Optimization via Probabilistic Modeling written by Martin Pelikan and published by Springer. This book was released on 2007-01-12 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: I’m not usually a fan of edited volumes. Too often they are an incoherent hodgepodge of remnants, renegades, or rejects foisted upon an unsuspecting reading public under a misleading or fraudulent title. The volume Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications is a worthy addition to your library because it succeeds on exactly those dimensions where so many edited volumes fail. For example, take the title, Scalable Optimization via Probabilistic M- eling: From Algorithms to Applications. You need not worry that you’re going to pick up this book and ?nd stray articles about anything else. This book focuseslikealaserbeamononeofthehottesttopicsinevolutionary compu- tion over the last decade or so: estimation of distribution algorithms (EDAs). EDAs borrow evolutionary computation’s population orientation and sel- tionism and throw out the genetics to give us a hybrid of substantial power, elegance, and extensibility. The article sequencing in most edited volumes is hard to understand, but from the get go the editors of this volume have assembled a set of articles sequenced in a logical fashion. The book moves from design to e?ciency enhancement and then concludes with relevant applications. The emphasis on e?ciency enhancement is particularly important, because the data-mining perspectiveimplicitinEDAsopensuptheworldofoptimizationtonewme- ods of data-guided adaptation that can further speed solutions through the construction and utilization of e?ective surrogates, hybrids, and parallel and temporal decompositions.

Clever Algorithms

Author : Jason Brownlee
Publisher : Jason Brownlee
ISBN 13 : 1446785068
Total Pages : 437 pages
Book Rating : 4.4/5 (467 download)

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Book Synopsis Clever Algorithms by : Jason Brownlee

Download or read book Clever Algorithms written by Jason Brownlee and published by Jason Brownlee. This book was released on 2011 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a handbook of algorithmic recipes from the fields of Metaheuristics, Biologically Inspired Computation and Computational Intelligence that have been described in a complete, consistent, and centralized manner. These standardized descriptions were carefully designed to be accessible, usable, and understandable. Most of the algorithms described in this book were originally inspired by biological and natural systems, such as the adaptive capabilities of genetic evolution and the acquired immune system, and the foraging behaviors of birds, bees, ants and bacteria. An encyclopedic algorithm reference, this book is intended for research scientists, engineers, students, and interested amateurs. Each algorithm description provides a working code example in the Ruby Programming Language.

Parallel Problem Solving from Nature - PPSN X

Author : Günter Rudolph
Publisher : Springer
ISBN 13 : 3540877002
Total Pages : 1183 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Parallel Problem Solving from Nature - PPSN X by : Günter Rudolph

Download or read book Parallel Problem Solving from Nature - PPSN X written by Günter Rudolph and published by Springer. This book was released on 2008-09-16 with total page 1183 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Parallel Problem Solving from Nature, PPSN 2008, held in Dortmund, Germany, in September 2008. The 114 revised full papers presented were carefully reviewed and selected from 206 submissions. The conference covers a wide range of topics, such as evolutionary computation, quantum computation, molecular computation, neural computation, artificial life, swarm intelligence, artificial ant systems, artificial immune systems, self-organizing systems, emergent behaviors, and applications to real-world problems. The paper are organized in topical sections on formal theory, new techniques, experimental analysis, multiobjective optimization, hybrid methods, and applications.

Multiobjective Problem Solving from Nature

Author : Joshua Knowles
Publisher : Springer Science & Business Media
ISBN 13 : 3540729631
Total Pages : 413 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Multiobjective Problem Solving from Nature by : Joshua Knowles

Download or read book Multiobjective Problem Solving from Nature written by Joshua Knowles and published by Springer Science & Business Media. This book was released on 2008-01-28 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text examines how multiobjective evolutionary algorithms and related techniques can be used to solve problems, particularly in the disciplines of science and engineering. Contributions by leading researchers show how the concept of multiobjective optimization can be used to reformulate and resolve problems in areas such as constrained optimization, co-evolution, classification, inverse modeling, and design.

Springer Handbook of Computational Intelligence

Author : Janusz Kacprzyk
Publisher : Springer
ISBN 13 : 3662435055
Total Pages : 1637 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Springer Handbook of Computational Intelligence by : Janusz Kacprzyk

Download or read book Springer Handbook of Computational Intelligence written by Janusz Kacprzyk and published by Springer. This book was released on 2015-05-28 with total page 1637 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches include, for example, those being inspired by biology, living organisms and animate systems. Content is organized in seven parts: foundations; fuzzy logic; rough sets; evolutionary computation; neural networks; swarm intelligence and hybrid computational intelligence systems. Each Part is supervised by its own Part Editor(s) so that high-quality content as well as completeness are assured.

Computational Intelligence in Expensive Optimization Problems

Author : Yoel Tenne
Publisher : Springer Science & Business Media
ISBN 13 : 364210701X
Total Pages : 736 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Computational Intelligence in Expensive Optimization Problems by : Yoel Tenne

Download or read book Computational Intelligence in Expensive Optimization Problems written by Yoel Tenne and published by Springer Science & Business Media. This book was released on 2010-03-10 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: In modern science and engineering, laboratory experiments are replaced by high fidelity and computationally expensive simulations. Using such simulations reduces costs and shortens development times but introduces new challenges to design optimization process. Examples of such challenges include limited computational resource for simulation runs, complicated response surface of the simulation inputs-outputs, and etc. Under such difficulties, classical optimization and analysis methods may perform poorly. This motivates the application of computational intelligence methods such as evolutionary algorithms, neural networks and fuzzy logic, which often perform well in such settings. This is the first book to introduce the emerging field of computational intelligence in expensive optimization problems. Topics covered include: dedicated implementations of evolutionary algorithms, neural networks and fuzzy logic. reduction of expensive evaluations (modelling, variable-fidelity, fitness inheritance), frameworks for optimization (model management, complexity control, model selection), parallelization of algorithms (implementation issues on clusters, grids, parallel machines), incorporation of expert systems and human-system interface, single and multiobjective algorithms, data mining and statistical analysis, analysis of real-world cases (such as multidisciplinary design optimization). The edited book provides both theoretical treatments and real-world insights gained by experience, all contributed by leading researchers in the respective fields. As such, it is a comprehensive reference for researchers, practitioners, and advanced-level students interested in both the theory and practice of using computational intelligence for expensive optimization problems.

Learning Classifier Systems

Author : Jaume Bacardit
Publisher : Springer Science & Business Media
ISBN 13 : 3540881379
Total Pages : 316 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Learning Classifier Systems by : Jaume Bacardit

Download or read book Learning Classifier Systems written by Jaume Bacardit and published by Springer Science & Business Media. This book was released on 2008-10-23 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed joint post-conference proceedings of two consecutive International Workshops on Learning Classifier Systems that took place in Seattle, WA, USA in July 2006, and in London, UK, in July 2007 - all hosted by the Genetic and Evolutionary Computation Conference, GECCO. The 14 revised full papers presented were carefully reviewed and selected from the workshop contributions. The papers are organized in topical sections on knowledge representation, analysis of the system, mechanisms, new directions, as well as applications.

Evolutionary Optimization Algorithms

Author : Dan Simon
Publisher : John Wiley & Sons
ISBN 13 : 1118659503
Total Pages : 776 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Evolutionary Optimization Algorithms by : Dan Simon

Download or read book Evolutionary Optimization Algorithms written by Dan Simon and published by John Wiley & Sons. This book was released on 2013-06-13 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt: A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant colonies. This book discusses the theory, history, mathematics, and programming of evolutionary optimization algorithms. Featured algorithms include genetic algorithms, genetic programming, ant colony optimization, particle swarm optimization, differential evolution, biogeography-based optimization, and many others. Evolutionary Optimization Algorithms: Provides a straightforward, bottom-up approach that assists the reader in obtaining a clear but theoretically rigorous understanding of evolutionary algorithms, with an emphasis on implementation Gives a careful treatment of recently developed EAs including opposition-based learning, artificial fish swarms, bacterial foraging, and many others and discusses their similarities and differences from more well-established EAs Includes chapter-end problems plus a solutions manual available online for instructors Offers simple examples that provide the reader with an intuitive understanding of the theory Features source code for the examples available on the author's website Provides advanced mathematical techniques for analyzing EAs, including Markov modeling and dynamic system modeling Evolutionary Optimization Algorithms: Biologically Inspired and Population-Based Approaches to Computer Intelligence is an ideal text for advanced undergraduate students, graduate students, and professionals involved in engineering and computer science.

Hierarchical Bayesian Optimization Algorithm

Author : Martin Pelikan
Publisher : Springer Science & Business Media
ISBN 13 : 9783540237747
Total Pages : 194 pages
Book Rating : 4.2/5 (377 download)

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Book Synopsis Hierarchical Bayesian Optimization Algorithm by : Martin Pelikan

Download or read book Hierarchical Bayesian Optimization Algorithm written by Martin Pelikan and published by Springer Science & Business Media. This book was released on 2005-02 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine learning techniques. The book focuses on two algorithms that replace traditional variation operators of evolutionary algorithms by learning and sampling Bayesian networks: the Bayesian optimization algorithm (BOA) and the hierarchical BOA (hBOA). BOA and hBOA are theoretically and empirically shown to provide robust and scalable solution for broad classes of nearly decomposable and hierarchical problems. A theoretical model is developed that estimates the scalability and adequate parameter settings for BOA and hBOA. The performance of BOA and hBOA is analyzed on a number of artificial problems of bounded difficulty designed to test BOA and hBOA on the boundary of their design envelope. The algorithms are also extensively tested on two interesting classes of real-world problems: MAXSAT and Ising spin glasses with periodic boundary conditions in two and three dimensions. Experimental results validate the theoretical model and confirm that BOA and hBOA provide robust and scalable solution for nearly decomposable and hierarchical problems with only little problem-specific information.

Handbook of Optimization

Author : Ivan Zelinka
Publisher : Springer Science & Business Media
ISBN 13 : 3642305032
Total Pages : 1088 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Handbook of Optimization by : Ivan Zelinka

Download or read book Handbook of Optimization written by Ivan Zelinka and published by Springer Science & Business Media. This book was released on 2012-08-13 with total page 1088 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization problems were and still are the focus of mathematics from antiquity to the present. Since the beginning of our civilization, the human race has had to confront numerous technological challenges, such as finding the optimal solution of various problems including control technologies, power sources construction, applications in economy, mechanical engineering and energy distribution amongst others. These examples encompass both ancient as well as modern technologies like the first electrical energy distribution network in USA etc. Some of the key principles formulated in the middle ages were done by Johannes Kepler (Problem of the wine barrels), Johan Bernoulli (brachystochrone problem), Leonhard Euler (Calculus of Variations), Lagrange (Principle multipliers), that were formulated primarily in the ancient world and are of a geometric nature. In the beginning of the modern era, works of L.V. Kantorovich and G.B. Dantzig (so-called linear programming) can be considered amongst others. This book discusses a wide spectrum of optimization methods from classical to modern, alike heuristics. Novel as well as classical techniques is also discussed in this book, including its mutual intersection. Together with many interesting chapters, a reader will also encounter various methods used for proposed optimization approaches, such as game theory and evolutionary algorithms or modelling of evolutionary algorithm dynamics like complex networks.

Success in Evolutionary Computation

Author : Ang Yang
Publisher : Springer
ISBN 13 : 3540762868
Total Pages : 372 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Success in Evolutionary Computation by : Ang Yang

Download or read book Success in Evolutionary Computation written by Ang Yang and published by Springer. This book was released on 2008-03-22 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary Computation (EC) includes a number of techniques such as Genetic Algorithms which have been used in a diverse range of highly successful applications. This book brings together some of these EC applications in fields including electronics, telecommunications, health, bioinformatics, supply chain and other engineering domains, to give the audience, including both EC researchers and practitioners, a glimpse of this exciting and rapidly-evolving field.

Hybrid Artificial Intelligence Systems

Author : Emilio Corchado
Publisher : Springer Science & Business Media
ISBN 13 : 3642023185
Total Pages : 736 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Hybrid Artificial Intelligence Systems by : Emilio Corchado

Download or read book Hybrid Artificial Intelligence Systems written by Emilio Corchado and published by Springer Science & Business Media. This book was released on 2009-06-02 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 4th International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2009, held in Salamanca, Spain, in June 2009. The 85 papers presented, were carefully reviewed and selected from 206 submissions. The topics covered are agents and multi agents systems, HAIS applications, cluster analysis, data mining and knowledge discovery, evolutionary computation, learning algorithms, real world HAIS applications and data uncertainty, hybrid artificial intelligence in bioinformatics, evolutionary multiobjective machine learning, hybrid reasoning and coordination methods on multi-agent systems, methods of classifiers fusion, knowledge extraction based on evolutionary learning, hybrid systems based on bioinspired algorithms and argumentation methods, hybrid evolutionry intelligence in financial engineering.

Linkage in Evolutionary Computation

Author : Ying-ping Chen
Publisher : Springer
ISBN 13 : 3540850686
Total Pages : 487 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Linkage in Evolutionary Computation by : Ying-ping Chen

Download or read book Linkage in Evolutionary Computation written by Ying-ping Chen and published by Springer. This book was released on 2008-09-10 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on ad hoc tweaking of parameters to control the search by balancing the level of exploitation and exploration are grossly inadequate. As shown in the work reported here, such parameters tweaking based approaches have their limits; they can be easily ”fooled” by cases of triviality or peculiarity of the class of problems that the algorithms are designed to handle. Furthermore, these approaches are usually blind to the interactions between the decision variables, thereby disrupting the partial solutions that are being built up along the way.

Parallel and Distributed Computational Intelligence

Author : Francisco Fernández de Vega
Publisher : Springer Science & Business Media
ISBN 13 : 3642106749
Total Pages : 347 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Parallel and Distributed Computational Intelligence by : Francisco Fernández de Vega

Download or read book Parallel and Distributed Computational Intelligence written by Francisco Fernández de Vega and published by Springer Science & Business Media. This book was released on 2010-09-18 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering a global snapshot of parallel and distributed computational intelligence today, this volume covers ongoing issues as well as recent exploratory work. Topics discussed include GPUs, Clusters, Grids, volunteer computing, p2p networks and more.

Natural Computing for Simulation and Knowledge Discovery

Author : Nunes de Castro, Leandro
Publisher : IGI Global
ISBN 13 : 1466642548
Total Pages : 346 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Natural Computing for Simulation and Knowledge Discovery by : Nunes de Castro, Leandro

Download or read book Natural Computing for Simulation and Knowledge Discovery written by Nunes de Castro, Leandro and published by IGI Global. This book was released on 2013-07-31 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nature has long provided the inspiration for a variety of scientific discoveries in engineering, biomedicine, and computing, though only recently have these elements of nature been used directly in computational systems. Natural Computing for Simulation and Knowledge Discovery investigates the latest developments in nature-influenced technologies. Within its pages, readers will find an in-depth analysis of such advances as cryptographic solutions based on cell division, the creation and manipulation of biological computers, and particle swarm optimization techniques. Scientists, practitioners, and students in fields such as computing, mathematics, and molecular science will make use of this essential reference to explore current trends in natural computation and advance nature-inspired technologies to the next generation.

Parallel Problem Solving from Nature, PPSN XI

Author : Robert Schaefer
Publisher : Springer Science & Business Media
ISBN 13 : 3642158706
Total Pages : 577 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Parallel Problem Solving from Nature, PPSN XI by : Robert Schaefer

Download or read book Parallel Problem Solving from Nature, PPSN XI written by Robert Schaefer and published by Springer Science & Business Media. This book was released on 2010-09-03 with total page 577 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Conference on Parallel Problem Solving from Nature - PPSN XI, held in Kraków, Poland, in September 2010. The 131 revised full papers were carefully reviewed and selected from 232 submissions. The conference covers a wide range of topics, from evolutionary computation to swarm intelligence, from bio-inspired computing to real world applications. Machine learning and mathematical games supported by evolutionary algorithms as well as memetic, agent-oriented systems are also represented.

Parallel Problem Solving from Nature - PPSN XII

Author : Carlos Coello Coello
Publisher : Springer
ISBN 13 : 3642329373
Total Pages : 562 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Parallel Problem Solving from Nature - PPSN XII by : Carlos Coello Coello

Download or read book Parallel Problem Solving from Nature - PPSN XII written by Carlos Coello Coello and published by Springer. This book was released on 2012-08-27 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 7491 and 7492 constitutes the refereed proceedings of the 12th International Conference on Parallel Problem Solving from Nature, PPSN 2012, held in Taormina, Sicily, Italy, in September 2012. The total of 105 revised full papers were carefully reviewed and selected from 226 submissions. The meeting began with 5 workshops which offered an ideal opportunity to explore specific topics in evolutionary computation, bio-inspired computing and metaheuristics. PPSN 2012 also included 8 tutorials. The papers are organized in topical sections on evolutionary computation; machine learning, classifier systems, image processing; experimental analysis, encoding, EDA, GP; multiobjective optimization; swarm intelligence, collective behavior, coevolution and robotics; memetic algorithms, hybridized techniques, meta and hyperheuristics; and applications.