Parallelism Learning Evolution

Author : J.D. Becker,I. Eisele,F.W. Mündemann
Publisher : Springer Science & Business Media
Page : 540 pages
File Size : 48,9 Mb
Release : 1991-12-04
Category : Computers
ISBN : 3540550275

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Parallelism, Learning, Evolution by J.D. Becker,I. Eisele,F.W. Mündemann Pdf

This volume presents the proceedings of a workshop on evolutionary models and strategies and another workshop on parallel processing, logic, organization, and technology, both held in Germany in 1989. In the search for new concepts relevant for parallel and distributed processing, the workshop on parallel processing included papers on aspects of space and time, representations of systems, non-Boolean logics, metrics, dynamics and structure, and superposition and uncertainties. The point was stressed that distributed representations of information may share features with quantum physics, such as the superposition principle and the uncertainty relations. Much of the volume contains material on general parallel processing machines, neural networks, and system-theoretic aspects. The material on evolutionary strategies is included because these strategies will yield important and powerful applications for parallel processing machines, and open the wayto new problem classes to be treated by computers.

Author : Anonim
Publisher : Unknown
Page : 525 pages
File Size : 42,8 Mb
Release : 1991
Category : Algorithms
ISBN : 0387550275

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Parallelism, Learning, Evolution by Anonim Pdf

Author : J.D. Becker,I. Eisele,F.W. Mündemann
Publisher : Springer
Page : 530 pages
File Size : 50,7 Mb
Release : 2014-03-12
Category : Computers
ISBN : 3662165678

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Parallelism, Learning, Evolution by J.D. Becker,I. Eisele,F.W. Mündemann Pdf

This volume presents the proceedings of a workshop on evolutionary models and strategies and another workshop on parallel processing, logic, organization, and technology, both held in Germany in 1989. In the search for new concepts relevant for parallel and distributed processing, the workshop on parallel processing included papers on aspects of space and time, representations of systems, non-Boolean logics, metrics, dynamics and structure, and superposition and uncertainties. The point was stressed that distributed representations of information may share features with quantum physics, such as the superposition principle and the uncertainty relations. Much of the volume contains material on general parallel processing machines, neural networks, and system-theoretic aspects. The material on evolutionary strategies is included because these strategies will yield important and powerful applications for parallel processing machines, and open the wayto new problem classes to be treated by computers.

Author : Yuval Davidor,Hans-Paul Schwefel,Reinhard Männer
Publisher : Springer Science & Business Media
Page : 664 pages
File Size : 53,7 Mb
Release : 1994-09-21
Category : Computers
ISBN : 3540584846

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Parallel Problem Solving from Nature - PPSN III by Yuval Davidor,Hans-Paul Schwefel,Reinhard Männer Pdf

The challenges in ecosystem science encompass a broadening and strengthening of interdisciplinary ties, the transfer of knowledge of the ecosystem across scales, and the inclusion of anthropogenic impacts and human behavior into ecosystem, landscape, and regional models. The volume addresses these points within the context of studies in major ecosystem types viewed as the building blocks of central European landscapes. The research is evaluated to increase the understanding of the processes in order to unite ecosystem science with resource management. The comparison embraces coastal lowland forests, associated wetlands and lakes, agricultural land use, and montane and alpine forests. Techniques for upscaling focus on process modelling at stand and landscape scales and the use of remote sensing for landscape-level model parameterization and testing. The case studies demonstrate ways for ecosystem scientists, managers, and social scientists to cooperate.

Author : Günter Rudolph,Anna V. Kononova,Hernán Aguirre,Pascal Kerschke,Gabriela Ochoa,Tea Tušar
Publisher : Springer Nature
Page : 643 pages
File Size : 47,5 Mb
Release : 2022-08-15
Category : Computers
ISBN : 9783031147210

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Parallel Problem Solving from Nature – PPSN XVII by Günter Rudolph,Anna V. Kononova,Hernán Aguirre,Pascal Kerschke,Gabriela Ochoa,Tea Tušar Pdf

This two-volume set LNCS 13398 and LNCS 13399 constitutes the refereed proceedings of the 17th International Conference on Parallel Problem Solving from Nature, PPSN 2022, held in Dortmund, Germany, in September 2022. The 87 revised full papers were carefully reviewed and selected from numerous submissions. The conference presents a study of computing methods derived from natural models. Amorphous Computing, Artificial Life, Artificial Ant Systems, Artificial Immune Systems, Artificial Neural Networks, Cellular Automata, Evolutionary Computation, Swarm Computing, Self-Organizing Systems, Chemical Computation, Molecular Computation, Quantum Computation, Machine Learning, and Artificial Intelligence approaches using Natural Computing methods are just some of the topics covered in this field.

Author : Pekka Manninen,Per Öster
Publisher : Springer
Page : 569 pages
File Size : 54,7 Mb
Release : 2013-02-12
Category : Computers
ISBN : 9783642368035

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Applied Parallel and Scientific Computing by Pekka Manninen,Per Öster Pdf

This volume constitutes the refereed proceedings of the 11th International Conference on Applied Parallel and Scientific Computing, PARA 2012, held in Helsinki, Finland, in June 2012. The 35 revised full papers presented were selected from numerous submissions and are organized in five technical sessions covering the topics of advances in HPC applications, parallel algorithms, performance analyses and optimization, application of parallel computing in industry and engineering, and HPC interval methods. In addition, three of the topical minisymposia are described by a corresponding overview article on the minisymposia topic. In order to cover the state-of-the-art of the field, at the end of the book a set of abstracts describe some of the conference talks not elaborated into full articles.

Author : Stephanie Forrest
Publisher : Elsevier
Page : 224 pages
File Size : 42,6 Mb
Release : 2014-06-28
Category : Computers
ISBN : 9780080513553

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Parallelism and Programming in Classifier Systems by Stephanie Forrest Pdf

Parallelism and Programming in Classifier Systems deals with the computational properties of the underlying parallel machine, including computational completeness, programming and representation techniques, and efficiency of algorithms. In particular, efficient classifier system implementations of symbolic data structures and reasoning procedures are presented and analyzed in detail. The book shows how classifier systems can be used to implement a set of useful operations for the classification of knowledge in semantic networks. A subset of the KL-ONE language was chosen to demonstrate these operations. Specifically, the system performs the following tasks: (1) given the KL-ONE description of a particular semantic network, the system produces a set of production rules (classifiers) that represent the network; and (2) given the description of a new term, the system determines the proper location of the new term in the existing network. These two parts of the system are described in detail. The implementation reveals certain computational properties of classifier systems, including completeness, operations that are particularly natural and efficient, and those that are quite awkward. The book shows how high-level symbolic structures can be built up from classifier systems, and it demonstrates that the parallelism of classifier systems can be exploited to implement them efficiently. This is significant since classifier systems must construct large sophisticated models and reason about them if they are to be truly ""intelligent."" Parallel organizations are of interest to many areas of computer science, such as hardware specification, programming language design, configuration of networks of separate machines, and artificial intelligence This book concentrates on a particular type of parallel organization and a particular problem in the area of AI, but the principles that are elucidated are applicable in the wider setting of computer science.

Author : Dingzhu Du,Panos M. Pardalos
Publisher : Springer Science & Business Media
Page : 880 pages
File Size : 51,5 Mb
Release : 1998-12-15
Category : Science
ISBN : 0792352858

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Handbook of combinatorial optimization by Dingzhu Du,Panos M. Pardalos Pdf

Combinatorial (or discrete) optimization is one of the most active fields in the interface of operations research, computer science, and applied math ematics. Combinatorial optimization problems arise in various applications, including communications network design, VLSI design, machine vision, air line crew scheduling, corporate planning, computer-aided design and man ufacturing, database query design, cellular telephone frequency assignment, constraint directed reasoning, and computational biology. Furthermore, combinatorial optimization problems occur in many diverse areas such as linear and integer programming, graph theory, artificial intelligence, and number theory. All these problems, when formulated mathematically as the minimization or maximization of a certain function defined on some domain, have a commonality of discreteness. Historically, combinatorial optimization starts with linear programming. Linear programming has an entire range of important applications including production planning and distribution, personnel assignment, finance, alloca tion of economic resources, circuit simulation, and control systems. Leonid Kantorovich and Tjalling Koopmans received the Nobel Prize (1975) for their work on the optimal allocation of resources. Two important discover ies, the ellipsoid method (1979) and interior point approaches (1984) both provide polynomial time algorithms for linear programming. These algo rithms have had a profound effect in combinatorial optimization. Many polynomial-time solvable combinatorial optimization problems are special cases of linear programming (e.g. matching and maximum flow). In addi tion, linear programming relaxations are often the basis for many approxi mation algorithms for solving NP-hard problems (e.g. dual heuristics)."

Author : Ding-Zhu Du,Panos M. Pardalos
Publisher : Springer Science & Business Media
Page : 2410 pages
File Size : 45,9 Mb
Release : 2013-12-01
Category : Mathematics
ISBN : 9781461303039

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Handbook of Combinatorial Optimization by Ding-Zhu Du,Panos M. Pardalos Pdf

Combinatorial (or discrete) optimization is one of the most active fields in the interface of operations research, computer science, and applied math ematics. Combinatorial optimization problems arise in various applications, including communications network design, VLSI design, machine vision, air line crew scheduling, corporate planning, computer-aided design and man ufacturing, database query design, cellular telephone frequency assignment, constraint directed reasoning, and computational biology. Furthermore, combinatorial optimization problems occur in many diverse areas such as linear and integer programming, graph theory, artificial intelligence, and number theory. All these problems, when formulated mathematically as the minimization or maximization of a certain function defined on some domain, have a commonality of discreteness. Historically, combinatorial optimization starts with linear programming. Linear programming has an entire range of important applications including production planning and distribution, personnel assignment, finance, alloca tion of economic resources, circuit simulation, and control systems. Leonid Kantorovich and Tjalling Koopmans received the Nobel Prize (1975) for their work on the optimal allocation of resources. Two important discover ies, the ellipsoid method (1979) and interior point approaches (1984) both provide polynomial time algorithms for linear programming. These algo rithms have had a profound effect in combinatorial optimization. Many polynomial-time solvable combinatorial optimization problems are special cases of linear programming (e.g. matching and maximum flow). In addi tion, linear programming relaxations are often the basis for many approxi mation algorithms for solving NP-hard problems (e.g. dual heuristics).

Author : Kim F. Man,Kit Sang Tang,Sam Kwong
Publisher : Springer Science & Business Media
Page : 226 pages
File Size : 45,6 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781447109556

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Genetic Algorithms for Control and Signal Processing by Kim F. Man,Kit Sang Tang,Sam Kwong Pdf

The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, . . . , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. The emerging technologies in control include fuzzy logic, intelligent control, neural networks and hardware developments like micro-electro-mechanical systems and autonomous vehicles. This volume describes the biological background, basic construction and application of the emerging technology of Genetic Algorithms. Dr Kim Man and his colleagues have written a book which is both a primer introducing the basic concepts and a research text which describes some of the more advanced applications of the genetic algorithmic method. The applications described are especially useful since they indicate the power of the GA method in solving a wide range of problems. These sections are also instructive in showing how the mechanics of the GA solutions are obtained thereby acting as a template for similar types of problems. The volume is a very welcome contribution to the Advances in Industrial Control Series. M. J. Grimble and M. A.

Author : David W. Pearson,Nigel C. Steele,Rudolf F. Albrecht
Publisher : Springer Science & Business Media
Page : 542 pages
File Size : 47,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783709175354

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Artificial Neural Nets and Genetic Algorithms by David W. Pearson,Nigel C. Steele,Rudolf F. Albrecht Pdf

Artificial neural networks and genetic algorithms both are areas of research which have their origins in mathematical models constructed in order to gain understanding of important natural processes. By focussing on the process models rather than the processes themselves, significant new computational techniques have evolved which have found application in a large number of diverse fields. This diversity is reflected in the topics which are subjects of the contributions to this volume. There are contributions reporting successful applications of the technology to the solution of industrial/commercial problems. This may well reflect the maturity of the technology, notably in the sense that 'real' users of modelling/prediction techniques are prepared to accept neural networks as a valid paradigm. Theoretical issues also receive attention, notably in connection with the radial basis function neural network. Contributions in the field of genetic algorithms reflect the wide range of current applications, including, for example, portfolio selection, filter design, frequency assignment, tuning of nonlinear PID controllers. These techniques are also used extensively for combinatorial optimisation problems.

Author : Lawrence A. Birnbaum
Publisher : Morgan Kaufmann
Page : 540 pages
File Size : 49,6 Mb
Release : 2014-05-23
Category : Computers
ISBN : 9781483298627

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Machine Learning Proceedings 1993 by Lawrence A. Birnbaum Pdf

Machine Learning Proceedings 1993

Author : Harald Atmanspacher,Herbert Scheingraber
Publisher : Springer Science & Business Media
Page : 362 pages
File Size : 53,9 Mb
Release : 2013-11-11
Category : Technology & Engineering
ISBN : 9781489923059

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Information Dynamics by Harald Atmanspacher,Herbert Scheingraber Pdf

Proceedings of a NATO ASI held in Irsee/Kaufbeuren, Germany, June 15--26, 1990

Author : Pavel B. Brazdil
Publisher : Springer Science & Business Media
Page : 492 pages
File Size : 40,9 Mb
Release : 1993-03-23
Category : Computers
ISBN : 3540566023

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Machine Learning: ECML-93 by Pavel B. Brazdil Pdf

This volume contains the proceedings of the Eurpoean Conference on Machine Learning (ECML-93), continuing the tradition of the five earlier EWSLs (European Working Sessions on Learning). The aim of these conferences is to provide a platform for presenting the latest results in the area of machine learning. The ECML-93 programme included invited talks, selected papers, and the presentation of ongoing work in poster sessions. The programme was completed by several workshops on specific topics. The volume contains papers related to all these activities. The first chapter of the proceedings contains two invited papers, one by Ross Quinlan and one by Stephen Muggleton on inductive logic programming. The second chapter contains 18 scientific papers accepted for the main sessions of the conference. The third chapter contains 18 shorter position papers. The final chapter includes three overview papers related to the ECML-93 workshops.

Author : Reimer Kühn,Randolf Menzel,Wolfram Menzel,Ulrich Ratsch,Michael M. Richter,Ion-Olimpiu Stamatescu
Publisher : Springer Science & Business Media
Page : 400 pages
File Size : 41,6 Mb
Release : 2013-06-29
Category : Science
ISBN : 9783662055946

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Adaptivity and Learning by Reimer Kühn,Randolf Menzel,Wolfram Menzel,Ulrich Ratsch,Michael M. Richter,Ion-Olimpiu Stamatescu Pdf

Adaptivity and learning have in recent decades become a common concern of scientific disciplines. These issues have arisen in mathematics, physics, biology, informatics, economics, and other fields more or less simultaneously. The aim of this publication is the interdisciplinary discourse on the phenomenon of learning and adaptivity. Different perspectives are presented and compared to find fruitful concepts for the disciplines involved. The authors select problems showing representative traits concerning the frame up, the methods and the achievements rather than to present extended overviews.