Parallel Problem Solving From Nature Ppsn Xvii

Author : Günter Rudolph,Thomas Jansen,Simon M. Lucas,Carlo Poloni,Nicola Beume
Publisher : Springer
Page : 1183 pages
File Size : 48,9 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 : Günter Rudolph,Anna V. Kononova,Hernán Aguirre,Pascal Kerschke,Gabriela Ochoa,Tea Tušar
Publisher : Springer Nature
Page : 643 pages
File Size : 51,7 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 : Günter Rudolph,Anna V. Kononova,Hernán Aguirre,Pascal Kerschke,Gabriela Ochoa,Tea Tušar
Publisher : Springer Nature
Page : 632 pages
File Size : 45,9 Mb
Release : 2022-08-13
Category : Computers
ISBN : 9783031147142

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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 : Günter Rudolph
Publisher : Unknown
Page : 0 pages
File Size : 53,7 Mb
Release : 2022
Category : Artificial intelligence
ISBN : 8303114719

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Parallel Problem Solving from Nature - PPSN XVII by Günter Rudolph 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 : Günter Rudolph,Anna V Kononova,Hernán Aguirre,Pascal Kerschke,Gabriela Ochoa,Tea Tušar
Publisher : Unknown
Page : 0 pages
File Size : 40,5 Mb
Release : 2022
Category : Application software
ISBN : 8303114727

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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 : Julia Handl,Emma Hart,Peter R. Lewis,Manuel López-Ibáñez,Gabriela Ochoa,Ben Paechter
Publisher : Springer
Page : 1026 pages
File Size : 45,6 Mb
Release : 2016-08-30
Category : Computers
ISBN : 9783319458236

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Parallel Problem Solving from Nature – PPSN XIV by Julia Handl,Emma Hart,Peter R. Lewis,Manuel López-Ibáñez,Gabriela Ochoa,Ben Paechter Pdf

This book constitutes the refereed proceedings of the 14th International Conference on Parallel Problem Solving from Nature, PPSN 2016, held in Edinburgh, UK, in September 2016. The total of 93 revised full papers were carefully reviewed and selected from 224 submissions. The meeting began with four workshops which offered an ideal opportunity to explore specific topics in intelligent transportation Workshop, landscape-aware heuristic search, natural computing in scheduling and timetabling, and advances in multi-modal optimization. PPSN XIV also included sixteen free tutorials to give us all the opportunity to learn about new aspects: gray box optimization in theory; theory of evolutionary computation; graph-based and cartesian genetic programming; theory of parallel evolutionary algorithms; promoting diversity in evolutionary optimization: why and how; evolutionary multi-objective optimization; intelligent systems for smart cities; advances on multi-modal optimization; evolutionary computation in cryptography; evolutionary robotics - a practical guide to experiment with real hardware; evolutionary algorithms and hyper-heuristics; a bridge between optimization over manifolds and evolutionary computation; implementing evolutionary algorithms in the cloud; the attainment function approach to performance evaluation in EMO; runtime analysis of evolutionary algorithms: basic introduction; meta-model assisted (evolutionary) optimization. The papers are organized in topical sections on adaption, self-adaption and parameter tuning; differential evolution and swarm intelligence; dynamic, uncertain and constrained environments; genetic programming; multi-objective, many-objective and multi-level optimization; parallel algorithms and hardware issues; real-word applications and modeling; theory; diversity and landscape analysis.

Author : Thomas Bartz-Beielstein,Juergen Branke,Bogdan Filipič,James Smith
Publisher : Springer
Page : 955 pages
File Size : 51,5 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
Publisher : Springer Science & Business Media
Page : 1079 pages
File Size : 44,6 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 : 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 : 40,9 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 : Marc Schoenauer,Kalyanmoy Deb,Günther Rudolph,Xin Yao,Evelyne Lutton,Juan Julian Merelo,Hans-Paul Schwefel
Publisher : Springer
Page : 920 pages
File Size : 45,6 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 : Juan J. Merelo,Panagiotis Adamidis,Hans-Georg Beyer
Publisher : Springer
Page : 954 pages
File Size : 54,6 Mb
Release : 2003-06-30
Category : Mathematics
ISBN : 9783540457121

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Parallel Problem Solving from Nature - PPSN VII by Juan J. Merelo,Panagiotis Adamidis,Hans-Georg Beyer Pdf

We are proud to introduce the proceedings of the Seventh International C- ference on Parallel Problem Solving from Nature, PPSN VII, held in Granada, Spain, on 7–11 September 2002. PPSN VII was organized back-to-back with the Foundations of Genetic Algorithms (FOGA) conference, which took place in Torremolinos, Malaga, Spain, in the preceding week. ThePPSNseriesofconferencesstartedinDortmund,Germany[1].Fromthat pioneering meeting, the event has been held biennially, in Brussels, Belgium [2], Jerusalem, Israel [3], Berlin, Germany [4], Amsterdam, The Netherlands [5], and Paris, France [6]. During the Paris conference, several bids to host PPSN 2002 were put forward; it was decided that the conference would be held in Granada with Juan J. Merelo Guerv ́ os as General Chairman. The scienti?c content of the PPSN conference focuses on problem-solving paradigms gleaned from natural models, with an obvious emphasis on those that display an innate parallelism, such as evolutionary algorithms and ant-colony optimization algorithms. The majority of the papers, however, concentrate on evolutionary and hybrid algorithms, as is shown in the contents of this book and itspredecessors.Thiseditionoftheconferenceproceedingshasalargesectionon applications,betheytoclassicalproblemsortoreal-worldengineeringproblems, which shows how bioinspired algorithms are extending their use in the realms of business and enterprise.

Author : Juan Julián Merelo Guervós
Publisher : Springer Science & Business Media
Page : 935 pages
File Size : 46,7 Mb
Release : 2002-08-26
Category : Computers
ISBN : 9783540441397

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Parallel Problem Solving from Nature - PPSN VII by Juan Julián Merelo Guervós Pdf

This book constitutes the refereed proceedings of the 7th International Conference on Parallel Problem Solving from Nature,PPSN 2002, held in Granada, Spain in September 2002. The 90 revised full papers presented were carefully reviewed and selected from 181 submissions. The papers are organized in topical sections on evolutionary algorithms theory, representation and codification, variation operators, evolutionary techniques and coevolution, multiobjective optimization, new techniques for evolutionary algorithms, hybrid algorithms, learning classifier systems, implementation of evolutionary algorithms, applications, and cellular automata and ant colony optimization.

Author : Zhongzhi Shi
Publisher : Springer Nature
Page : 518 pages
File Size : 44,5 Mb
Release : 2024-05-05
Category : Electronic
ISBN : 9783031578083

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Intelligent Information Processing XII by Zhongzhi Shi Pdf

Author : Osvaldo Gervasi,Beniamino Murgante,David Taniar,Bernady O. Apduhan,Ana Cristina Braga,Chiara Garau,Anastasia Stratigea
Publisher : Springer Nature
Page : 819 pages
File Size : 53,7 Mb
Release : 2023-06-29
Category : Computers
ISBN : 9783031368059

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Computational Science and Its Applications – ICCSA 2023 by Osvaldo Gervasi,Beniamino Murgante,David Taniar,Bernady O. Apduhan,Ana Cristina Braga,Chiara Garau,Anastasia Stratigea Pdf

The two-volume set LNCS 13956 and 13957 constitutes the refereed proceedings of the 23rd International Conference on Computational Science and Its Applications, ICCSA 2023, held at Lesvos Island, Greece, during July 3–6, 2023. The 67 full papers and 13 short papers and 6 PHD showcase papers included in this volume were carefully reviewed and selected from a total of 283 submissions. The contributions are grouped in topics which deal with General Track 1: Computational Methods, Algorithms and Scientific Applications; General Track 2: High Performance Computing and Networks; General Track 3: Geometric Modeling, Graphics and Visualization; General Track 4: Advanced and Emerging Applications; General Track 5: Information Systems and Technologies; General Track 6: Urban and Regional Planning; and PHD Showcase Papers.

Author : Oliver Kramer
Publisher : Springer
Page : 124 pages
File Size : 45,6 Mb
Release : 2016-05-25
Category : Technology & Engineering
ISBN : 9783319333830

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Machine Learning for Evolution Strategies by Oliver Kramer Pdf

This book introduces numerous algorithmic hybridizations between both worlds that show how machine learning can improve and support evolution strategies. The set of methods comprises covariance matrix estimation, meta-modeling of fitness and constraint functions, dimensionality reduction for search and visualization of high-dimensional optimization processes, and clustering-based niching. After giving an introduction to evolution strategies and machine learning, the book builds the bridge between both worlds with an algorithmic and experimental perspective. Experiments mostly employ a (1+1)-ES and are implemented in Python using the machine learning library scikit-learn. The examples are conducted on typical benchmark problems illustrating algorithmic concepts and their experimental behavior. The book closes with a discussion of related lines of research.