Parallel Problem Solving From Nature Ppsn Xiii

Author : Thomas Bartz-Beielstein,Juergen Branke,Bogdan Filipič,James Smith
Publisher : Springer
Page : 955 pages
File Size : 51,7 Mb
Release : 2014-09-11
Category : Computers
ISBN : 9783319107622

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Parallel Problem Solving from Nature -- PPSN XIII by Thomas Bartz-Beielstein,Juergen Branke,Bogdan Filipič,James Smith Pdf

This book constitutes the refereed proceedings of the 13th International Conference on Parallel Problem Solving from Nature, PPSN 2013, held in Ljubljana, Slovenia, in September 2014. The total of 90 revised full papers were carefully reviewed and selected from 217 submissions. The meeting began with 7 workshops which offered an ideal opportunity to explore specific topics in evolutionary computation, bio-inspired computing and metaheuristics. PPSN XIII also included 9 tutorials. The papers are organized in topical sections on adaption, self-adaption and parameter tuning; classifier system, differential evolution and swarm intelligence; coevolution and artificial immune systems; constraint handling; dynamic and uncertain environments; estimation of distribution algorithms and metamodelling; genetic programming; multi-objective optimisation; parallel algorithms and hardware implementations; real world applications; and theory.

Author : Thomas Philip Runarsson,Hans-Georg Beyer,Edmund Burke,Juan J. Merelo-Guervós,L. Darrell Whitley,Xin Yao
Publisher : Springer
Page : 1079 pages
File Size : 50,8 Mb
Release : 2006-10-06
Category : Computers
ISBN : 9783540389910

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Parallel Problem Solving from Nature - PPSN IX by Thomas Philip Runarsson,Hans-Georg Beyer,Edmund Burke,Juan J. Merelo-Guervós,L. Darrell Whitley,Xin Yao Pdf

This book constitutes the refereed proceedings of the 9th International Conference on Parallel Problem Solving from Nature, PPSN 2006. The book presents 106 revised full papers covering a wide range of topics, from evolutionary computation to swarm intelligence and bio-inspired computing to real-world applications. These are organized in topical sections on theory, new algorithms, applications, multi-objective optimization, evolutionary learning, as well as representations, operators, and empirical evaluation.

Author : Günter Rudolph,Thomas Jansen,Simon M. Lucas,Carlo Poloni,Nicola Beume
Publisher : Springer
Page : 1183 pages
File Size : 47,5 Mb
Release : 2008-09-16
Category : Computers
ISBN : 9783540877004

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Parallel Problem Solving from Nature - PPSN X by Günter Rudolph,Thomas Jansen,Simon M. Lucas,Carlo Poloni,Nicola Beume Pdf

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.

Author : Thomas Philip Runarsson
Publisher : Springer Science & Business Media
Page : 1079 pages
File Size : 52,9 Mb
Release : 2006-09-13
Category : Computers
ISBN : 9783540389903

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Parallel Problem Solving from Nature - PPSN IX by Thomas Philip Runarsson Pdf

This book constitutes the refereed proceedings of the 9th International Conference on Parallel Problem Solving from Nature, PPSN 2006. The book presents 106 revised full papers covering a wide range of topics, from evolutionary computation to swarm intelligence and bio-inspired computing to real-world applications. These are organized in topical sections on theory, new algorithms, applications, multi-objective optimization, evolutionary learning, as well as representations, operators, and empirical evaluation.

Author : Marc Schoenauer,Kalyanmoy Deb,Günther Rudolph,Xin Yao,Evelyne Lutton,Juan Julian Merelo,Hans-Paul Schwefel
Publisher : Springer
Page : 920 pages
File Size : 55,7 Mb
Release : 2007-12-07
Category : Computers
ISBN : 9783540453567

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Parallel Problem Solving from Nature-PPSN VI by Marc Schoenauer,Kalyanmoy Deb,Günther Rudolph,Xin Yao,Evelyne Lutton,Juan Julian Merelo,Hans-Paul Schwefel Pdf

We are proud to introduce the proceedings of the Sixth International Conference on Parallel Problem Solving from Nature, PPSN VI, held in Paris, Prance, on 18-20 September 2000. PPSN VI was organized in association with the Genetic and Evolutionary Computing Conference (GECCO'2000) and the Congress on Evolutionary Computation (CEC'2000), reflecting the beneficial interaction between the conference activities in Europe and in the USA in the field of natural computation. Starting in 1990 in Dortmund, Germany (Proceedings, LNCS vol. 496, Sprin ger, 1991), this biannual meeting has been held in Brussels, Belgium (Procee dings, Elsevier, 1992), Jerusalem, Israel (Proceedings, LNCS vol. 866, Springer, 1994), Berlin, Germany (Proceedings, LNCS vol. 1141, Springer, 1996), and Amsterdam, The Netherlands (Proceedings, LNCS vol. 1498, Springer, 1998), where it was decided that Paris would be the location of the 2000 conference with Marc Schoenauer as the general chair. The scientific content of the PPSN conference focuses on problem solving pa radigms gleaned from a natural models. Characteristic for Natural Computing is the metaphorical use of concepts, principles and mechanisms underlying natural systems, such as evolutionary processes involving mutation, recombination, and selection in natural evolution, annealing or punctuated equilibrium processes of many-particle systems in physics, growth processes in nature and economics, collective intelligence in biology, DNA-based computing in molecular chemistry, and multi-cellular behavioral processes in neural and immune networks.

Author : Anonim
Publisher : Unknown
Page : 1061 pages
File Size : 47,5 Mb
Release : 2006
Category : Electronic
ISBN : OCLC:1131985559

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Parallel Problem Solving from Nature--PPSN IX by Anonim Pdf

Author : Michael Emmerich,André Deutz,Oliver Schütze,Pierrick Legrand,Emilia Tantar,Alexandru-Adrian Tantar
Publisher : Springer
Page : 210 pages
File Size : 52,8 Mb
Release : 2017-04-27
Category : Technology & Engineering
ISBN : 9783319493251

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EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII by Michael Emmerich,André Deutz,Oliver Schütze,Pierrick Legrand,Emilia Tantar,Alexandru-Adrian Tantar Pdf

This book comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problems. It provides extended versions of selected papers from various fields of science such as computer science, mathematics and engineering that were presented at EVOLVE 2013 held in July 2013 at Leiden University in the Netherlands. The internationally peer-reviewed papers include original work on important topics in both theory and applications, such as the role of diversity in optimization, statistical approaches to combinatorial optimization, computational game theory, and cell mapping techniques for numerical landscape exploration. Applications focus on aspects including robustness, handling multiple objectives, and complex search spaces in engineering design and computational biology.

Author : Alfredo Milani,Arturo Carpi,Valentina Poggioni
Publisher : MDPI
Page : 144 pages
File Size : 40,7 Mb
Release : 2020-12-07
Category : Technology & Engineering
ISBN : 9783039436118

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Evolutionary Algorithms in Intelligent Systems by Alfredo Milani,Arturo Carpi,Valentina Poggioni Pdf

Evolutionary algorithms and metaheuristics are widely used to provide efficient and effective approximate solutions to computationally hard optimization problems. With the widespread use of intelligent systems in recent years, evolutionary algorithms have been applied, beyond classical optimization problems, to AI system parameter optimization and the design of artificial neural networks and feature selection in machine learning systems. This volume will present recent results of applications of the most successful metaheuristics, from differential evolution and particle swarm optimization to artificial neural networks, loT allocation, and multi-objective optimization problems. It will also provide a broad view of the role and the potential of evolutionary algorithms as service components in Al systems.

Author : Wolfgang Banzhaf,Randal S. Olson,William Tozier,Rick Riolo
Publisher : Springer
Page : 187 pages
File Size : 49,7 Mb
Release : 2018-07-05
Category : Computers
ISBN : 9783319905129

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Genetic Programming Theory and Practice XV by Wolfgang Banzhaf,Randal S. Olson,William Tozier,Rick Riolo Pdf

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: exploiting subprograms in genetic programming, schema frequencies in GP, Accessible AI, GP for Big Data, lexicase selection, symbolic regression techniques, co-evolution of GP and LCS, and applying ecological principles to GP. It also covers several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.

Author : Susan Stepney,Andrew Adamatzky
Publisher : Springer
Page : 387 pages
File Size : 55,7 Mb
Release : 2017-10-25
Category : Technology & Engineering
ISBN : 9783319679976

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Inspired by Nature by Susan Stepney,Andrew Adamatzky Pdf

This book is a tribute to Julian Francis Miller’s ideas and achievements in computer science, evolutionary algorithms and genetic programming, electronics, unconventional computing, artificial chemistry and theoretical biology. Leading international experts in computing inspired by nature offer their insights into the principles of information processing and optimisation in simulated and experimental living, physical and chemical substrates. Miller invented Cartesian Genetic Programming (CGP) in 1999, from a representation of electronic circuits he devised with Thomson a few years earlier. The book presents a number of CGP’s wide applications, including multi-step ahead forecasting, solving artificial neural networks dogma, approximate computing, medical informatics, control engineering, evolvable hardware, and multi-objective evolutionary optimisations. The book addresses in depth the technique of ‘Evolution in Materio’, a term coined by Miller and Downing, using a range of examples of experimental prototypes of computing in disordered ensembles of graphene nanotubes, slime mould, plants, and reaction diffusion chemical systems. Advances in sub-symbolic artificial chemistries, artificial bio-inspired development, code evolution with genetic programming, and using Reed-Muller expansions in the synthesis of Boolean quantum circuits add a unique flavour to the content. The book is a pleasure to explore for readers from all walks of life, from undergraduate students to university professors, from mathematicians, computer scientists and engineers to chemists and biologists.

Author : Frederic Demoly,Jean-Claude Andre
Publisher : John Wiley & Sons
Page : 372 pages
File Size : 52,6 Mb
Release : 2022-08-23
Category : Technology & Engineering
ISBN : 9781394163779

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4D Printing, Volume 1 by Frederic Demoly,Jean-Claude Andre Pdf

Any time objects and their (self-)organization are to be put into use, their models and methods of thinking as well as their designing and manufacturing need to be reinvented. 4D printing is a future technology that is capable of bringing 3D objects to life. This ability, which gives objects the power to change shape or properties over time through energy stimulation from active materials and additive manufacturing, makes it possible to envisage technological breakthroughs while challenging the relationship between people and objects. 4D Printing 1 presents the different facets of this technology, providing an objective, critical and even disruptive viewpoint to enable its existence and development, and to stimulate the creative drive that industry, society and humanity need in the perpetual quest for evolution and transformation.

Author : Xin Yao,Edmund Burke,Jose A. Lozano,Jim Smith,Juan J. Merelo-Guervós,John A. Bullinaria,Jonathan Rowe,Peter Tino,Ata Kabán,Hans-Paul Schwefel
Publisher : Springer
Page : 1188 pages
File Size : 40,7 Mb
Release : 2004-12-16
Category : Computers
ISBN : 9783540302179

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Parallel Problem Solving from Nature - PPSN VIII by Xin Yao,Edmund Burke,Jose A. Lozano,Jim Smith,Juan J. Merelo-Guervós,John A. Bullinaria,Jonathan Rowe,Peter Tino,Ata Kabán,Hans-Paul Schwefel Pdf

We are very pleased to present this LNCS volume, the proceedings of the 8th InternationalConferenceonParallelProblemSolvingfromNature(PPSNVIII). PPSN is one of the most respected and highly regarded conference series in evolutionary computation and natural computing/computation. This biennial eventwas?rstheldinDortmundin1990,andtheninBrussels(1992),Jerusalem (1994), Berlin (1996), Amsterdam (1998), Paris (2000), and Granada (2002). PPSN VIII continues to be the conference of choice by researchers all over the world who value its high quality. We received a record 358 paper submissions this year. After an extensive peer review process involving more than 1100 reviews, the programme c- mittee selected the top 119 papers for inclusion in this volume and, of course, for presentation at the conference. This represents an acceptance rate of 33%. Please note that review reports with scores only but no textual comments were not considered in the chairs’ ranking decisions. The papers included in this volume cover a wide range of topics, from e- lutionary computation to swarm intelligence and from bio-inspired computing to real-world applications. They represent some of the latest and best research in evolutionary and natural computation. Following the PPSN tradition, all - persatPPSNVIII werepresentedasposters.Therewere7 sessions:eachsession consisting of around 17 papers. For each session, we covered as wide a range of topics as possible so that participants with di?erent interests would ?nd some relevant papers at every session.

Author : A.E. Eiben,J.E. Smith
Publisher : Springer
Page : 287 pages
File Size : 54,7 Mb
Release : 2015-07-01
Category : Computers
ISBN : 9783662448748

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Introduction to Evolutionary Computing by A.E. Eiben,J.E. Smith Pdf

The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, a chapter on parameter tuning, which they combined with the parameter control and "how-to" chapters into a methodological part, and finally a chapter on evolutionary robotics with an outlook on possible exciting developments in this field. The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization.

Author : Massimiliano Vasile
Publisher : Springer Nature
Page : 573 pages
File Size : 42,6 Mb
Release : 2021-02-15
Category : Science
ISBN : 9783030601669

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Optimization Under Uncertainty with Applications to Aerospace Engineering by Massimiliano Vasile Pdf

In an expanding world with limited resources, optimization and uncertainty quantification have become a necessity when handling complex systems and processes. This book provides the foundational material necessary for those who wish to embark on advanced research at the limits of computability, collecting together lecture material from leading experts across the topics of optimization, uncertainty quantification and aerospace engineering. The aerospace sector in particular has stringent performance requirements on highly complex systems, for which solutions are expected to be optimal and reliable at the same time. The text covers a wide range of techniques and methods, from polynomial chaos expansions for uncertainty quantification to Bayesian and Imprecise Probability theories, and from Markov chains to surrogate models based on Gaussian processes. The book will serve as a valuable tool for practitioners, researchers and PhD students.

Author : Stefka Fidanova
Publisher : Springer Nature
Page : 388 pages
File Size : 48,5 Mb
Release : 2022-09-16
Category : Technology & Engineering
ISBN : 9783031068393

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Recent Advances in Computational Optimization by Stefka Fidanova Pdf

This book presents recent advances in computational optimization. The book includes important real problems like modeling of physical processes, parameter settings for controlling different processes, transportation problems, machine scheduling, air pollution modeling, solving multiple integrals and systems of differential and integral equations which describe real processes, solving engineering and financial problems. It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming Monte Carlo method and others. This research demonstrates how some real-world problems arising in engineering, economics and other domains can be formulated as optimization problems.