Parallel Problem Solving From Nature Ppsn Xvi

Author : Günter Rudolph,Thomas Jansen,Simon M. Lucas,Carlo Poloni,Nicola Beume
Publisher : Springer
Page : 1183 pages
File Size : 47,9 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 : Agoston E. Eiben
Publisher : Springer Science & Business Media
Page : 1076 pages
File Size : 52,6 Mb
Release : 1998-09-16
Category : Computers
ISBN : 3540650784

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Parallel Problem Solving from Nature - PPSN V by Agoston E. Eiben Pdf

This book constitutes the refereed proceedings of the 5th International Conference on Parallel Problem Solving from Nature, PPSN V, held in Amsterdam, The Netherlands, in September 1998. The 101 papers included in their revised form were carefully reviewed and selected from a total of 185 submissions. The book is divided into topical sections on convergence theory; fitness landscape and problem difficulty; noisy and non-stationary objective functions; multi-criteria and constrained optimization; representative issues; selection, operators, and evolution schemes; coevolution and learning; cellular automata, fuzzy systems, and neural networks; ant colonies, immune systems, and other paradigms; TSP, graphs, and satisfiability; scheduling, partitioning, and packing; design and telecommunications; and model estimations and layout problems.

Author : Thomas Bäck,Mike Preuss,André Deutz,Hao Wang,Carola Doerr,Michael Emmerich,Heike Trautmann
Publisher : Springer Nature
Page : 717 pages
File Size : 41,5 Mb
Release : 2020-09-02
Category : Computers
ISBN : 9783030581152

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Parallel Problem Solving from Nature – PPSN XVI by Thomas Bäck,Mike Preuss,André Deutz,Hao Wang,Carola Doerr,Michael Emmerich,Heike Trautmann Pdf

This two-volume set LNCS 12269 and LNCS 12270 constitutes the refereed proceedings of the 16th International Conference on Parallel Problem Solving from Nature, PPSN 2020, held in Leiden, The Netherlands, in September 2020. The 99 revised full papers were carefully reviewed and selected from 268 submissions. The topics cover classical subjects such as automated algorithm selection and configuration; Bayesian- and surrogate-assisted optimization; benchmarking and performance measures; combinatorial optimization; connection between nature-inspired optimization and artificial intelligence; genetic and evolutionary algorithms; genetic programming; landscape analysis; multiobjective optimization; real-world applications; reinforcement learning; and theoretical aspects of nature-inspired optimization.

Author : Günter Rudolph,Anna V. Kononova,Hernán Aguirre,Pascal Kerschke,Gabriela Ochoa,Tea Tušar
Publisher : Springer Nature
Page : 643 pages
File Size : 40,7 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 : Thomas Bäck,Mike Preuss,André Deutz,Hao Wang,Carola Doerr,Michael Emmerich,Heike Trautmann
Publisher : Springer Nature
Page : 753 pages
File Size : 45,6 Mb
Release : 2020-09-02
Category : Computers
ISBN : 9783030581121

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Parallel Problem Solving from Nature – PPSN XVI by Thomas Bäck,Mike Preuss,André Deutz,Hao Wang,Carola Doerr,Michael Emmerich,Heike Trautmann Pdf

This two-volume set LNCS 12269 and LNCS 12270 constitutes the refereed proceedings of the 16th International Conference on Parallel Problem Solving from Nature, PPSN 2020, held in Leiden, The Netherlands, in September 2020. The 99 revised full papers were carefully reviewed and selected from 268 submissions. The topics cover classical subjects such as automated algorithm selection and configuration; Bayesian- and surrogate-assisted optimization; benchmarking and performance measures; combinatorial optimization; connection between nature-inspired optimization and artificial intelligence; genetic and evolutionary algorithms; genetic programming; landscape analysis; multiobjective optimization; real-world applications; reinforcement learning; and theoretical aspects of nature-inspired optimization.

Author : Robert Schaefer,Carlos Cotta,Joanna Kolodziej,Günter Rudolph
Publisher : Springer
Page : 742 pages
File Size : 46,9 Mb
Release : 2010-09-13
Category : Computers
ISBN : 9783642158445

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Parallel Problem Solving from Nature, PPSN XI by Robert Schaefer,Carlos Cotta,Joanna Kolodziej,Günter Rudolph Pdf

We are very pleased to present to you this LNCS volume, the proceedings of the 11th International Conference on Parallel Problem Solving from Nature (PPSN 2010). PPSN is one of the most respected and highly regarded c- ference series in evolutionary computation, and indeed in natural computation aswell.Thisbiennialeventwas?rstheldinDortmundin1990, andtheninBr- sels (1992), Jerusalem (1994), Berlin (1996), Amsterdam (1998), Paris (2000), Granada (2002), Birmingham (2004), Reykjavik (2006) and again in Dortmund in 2008. PPSN 2010 received 232 submissions. After an extensive peer review p- cess involving more than 180 reviewers, the program committee chairs went through all the review reports and ranked the papers according to the revi- ers’comments. Each paper wasevaluated by at least three reviewers.Additional reviewers from the appropriate branches of science were invoked to review into disciplinary papers. The top 128 papers were ?nally selected for inclusion in the proceedings and presentation at the conference. This represents an acceptance rate of 55%, which guarantees that PPSN will continue to be one of the c- ferences of choice for bio-inspired computing and metaheuristics researchers all over the world who value the quality over the size of a conference. The papers included in the proceedingsvolumes covera wide range of topics, fromevolutionarycomputationto swarmintelligence, frombio-inspiredcomp- ing to real-world applications. Machine learning and mathematical games s- portedbyevolutionaryalgorithmsaswellasmemetic, agent-orientedsystemsare also represented. They all are the latest and best in natural computation. The proceedings are composed of two volumes divided into nine thematic sections.

Author : Bernard Manderick
Publisher : North Holland
Page : 618 pages
File Size : 44,7 Mb
Release : 1992-01-01
Category : Computers
ISBN : 0444897305

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Parallel Problem Solving from Nature, 2 by Bernard Manderick Pdf

The unifying theme of the Parallel Problem Solving from Nature is natural computation, i.e. the design, the theoretical and empirical understanding, and the comparison of algorithms gleaned from nature together with their application to real-world problems in science and technology. Recently the focus has narrowed down from natural computation to biological and evolutionary computation. For a long period of time, genetic algorithms in the United States and evolution strategies in Europe developed independently of each other. Now both scientific communities have started to interact and collaborate, and there are many contributions from Japan as well. This volume gives an accurate impression of the ongoing work in this rapidly growing and active scientific field.

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 : 52,9 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 : Thomas Philip Runarsson,Hans-Georg Beyer,Edmund Burke,Juan J. Merelo-Guervós,L. Darrell Whitley,Xin Yao
Publisher : Springer
Page : 1079 pages
File Size : 43,9 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 : Juan J. Merelo,Panagiotis Adamidis,Hans-Georg Beyer
Publisher : Springer
Page : 954 pages
File Size : 43,7 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 : Frederik Rehbach
Publisher : Springer Nature
Page : 123 pages
File Size : 55,7 Mb
Release : 2023-05-29
Category : Technology & Engineering
ISBN : 9783031306099

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Enhancing Surrogate-Based Optimization Through Parallelization by Frederik Rehbach Pdf

This book presents a solution to the challenging issue of optimizing expensive-to-evaluate industrial problems such as the hyperparameter tuning of machine learning models. The approach combines two well-established concepts, Surrogate-Based Optimization (SBO) and parallelization, to efficiently search for optimal parameter setups with as few function evaluations as possible. Through in-depth analysis, the need for parallel SBO solvers is emphasized, and it is demonstrated that they outperform model-free algorithms in scenarios with a low evaluation budget. The SBO approach helps practitioners save significant amounts of time and resources in hyperparameter tuning as well as other optimization projects. As a highlight, a novel framework for objectively comparing the efficiency of parallel SBO algorithms is introduced, enabling practitioners to evaluate and select the most effective approach for their specific use case. Based on practical examples, decision support is delivered, detailing which parts of industrial optimization projects can be parallelized and how to prioritize which parts to parallelize first. By following the framework, practitioners can make informed decisions about how to allocate resources and optimize their models efficiently.

Author : Juan Julián Merelo Guervós
Publisher : Springer Science & Business Media
Page : 935 pages
File Size : 53,6 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 : Wolfgang Banzhaf,Leonardo Trujillo,Stephan Winkler,Bill Worzel
Publisher : Springer Nature
Page : 220 pages
File Size : 49,5 Mb
Release : 2022-02-11
Category : Computers
ISBN : 9789811681134

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Genetic Programming Theory and Practice XVIII by Wolfgang Banzhaf,Leonardo Trujillo,Stephan Winkler,Bill Worzel Pdf

This book, written by the foremost international researchers and practitioners of genetic programming (GP), explores the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. In this year’s edition, the topics covered include many of the most important issues and research questions in the field, such as opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and efficient learning strategies, encodings and representations for GP, schema theorems, and new selection mechanisms. The book includes 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 : Jayaraman Valadi
Publisher : Springer Nature
Page : 365 pages
File Size : 48,9 Mb
Release : 2024-05-07
Category : Electronic
ISBN : 9789819997183

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Advanced Machine Learning with Evolutionary and Metaheuristic Techniques by Jayaraman Valadi Pdf

Author : Fuchun Sun,Jianmin Li,Huaping Liu,Zhongyi Chu
Publisher : Springer Nature
Page : 390 pages
File Size : 53,5 Mb
Release : 2023-05-23
Category : Computers
ISBN : 9789819927890

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Cognitive Computation and Systems by Fuchun Sun,Jianmin Li,Huaping Liu,Zhongyi Chu Pdf

This volume constitutes selected papers presented during the First International Conference on Cognitive Computation and Systems, ICCCS 2022, held in Beijing, China, in October 2022. The 31 papers were thoroughly reviewed and selected from the 75 submissions. The papers are organized in topical sections on ​computer vision; decision making and cognitive computation; robot and autonomous vehicle.