Parallel Problem Solving From Nature Ppsn Xii

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Parallel Problem Solving from Nature - PPSN X

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

Author : Günter Rudolph,Thomas Jansen,Simon M. Lucas,Carlo Poloni,Nicola Beume
Publisher : Springer
Page : 1183 pages
File Size : 49,6 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.

Parallel Problem Solving from Nature - PPSN XII

Carlos Coello Coello,Vincenzo Cutello,Kalyanmoy Deb,Stephanie Forrest,Giuseppe Nicosia,Mario Pavone
Parallel Problem Solving from Nature PPSN XII Book PDF

Author : Carlos Coello Coello,Vincenzo Cutello,Kalyanmoy Deb,Stephanie Forrest,Giuseppe Nicosia,Mario Pavone
Publisher : Springer
Page : 541 pages
File Size : 48,7 Mb
Release : 2012-08-27
Category : Computers
ISBN : 9783642329371

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Parallel Problem Solving from Nature - PPSN XII by Carlos Coello Coello,Vincenzo Cutello,Kalyanmoy Deb,Stephanie Forrest,Giuseppe Nicosia,Mario Pavone Pdf

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.

Parallel Problem Solving from Nature - PPSN XII

Carlos Coello Coello,Vincenzo Cutello,Kalyanmoy Deb,Stephanie Forrest,Giuseppe Nicosia,Mario Pavone
Parallel Problem Solving from Nature PPSN XII Book PDF

Author : Carlos Coello Coello,Vincenzo Cutello,Kalyanmoy Deb,Stephanie Forrest,Giuseppe Nicosia,Mario Pavone
Publisher : Springer
Page : 531 pages
File Size : 44,9 Mb
Release : 2012-08-27
Category : Computers
ISBN : 9783642329647

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Parallel Problem Solving from Nature - PPSN XII by Carlos Coello Coello,Vincenzo Cutello,Kalyanmoy Deb,Stephanie Forrest,Giuseppe Nicosia,Mario Pavone Pdf

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 6 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.

Parallel Problem Solving from Nature, 2

Bernard Manderick
Parallel Problem Solving from Nature 2 Book PDF

Author : Bernard Manderick
Publisher : North Holland
Page : 618 pages
File Size : 48,8 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.

Parallel Problem Solving from Nature - PPSN V

Agoston E. Eiben
Parallel Problem Solving from Nature PPSN V Book PDF

Author : Agoston E. Eiben
Publisher : Springer Science & Business Media
Page : 1076 pages
File Size : 50,9 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.

Parallel Problem Solving from Nature – PPSN XV

Anne Auger,Carlos M. Fonseca,Nuno Lourenço,Penousal Machado,Luís Paquete,Darrell Whitley
Parallel Problem Solving from Nature PPSN XV Book PDF

Author : Anne Auger,Carlos M. Fonseca,Nuno Lourenço,Penousal Machado,Luís Paquete,Darrell Whitley
Publisher : Springer
Page : 539 pages
File Size : 42,9 Mb
Release : 2018-08-30
Category : Computers
ISBN : 9783319992532

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Parallel Problem Solving from Nature – PPSN XV by Anne Auger,Carlos M. Fonseca,Nuno Lourenço,Penousal Machado,Luís Paquete,Darrell Whitley Pdf

This two-volume set LNCS 11101 and 11102 constitutes the refereed proceedings of the 15th International Conference on Parallel Problem Solving from Nature, PPSN 2018, held in Coimbra, Portugal, in September 2018. The 79 revised full papers were carefully reviewed and selected from 205 submissions. The papers cover a wide range of topics in natural computing including evolutionary computation, artificial neural networks, artificial life, swarm intelligence, artificial immune systems, self-organizing systems, emergent behavior, molecular computing, evolutionary robotics, evolvable hardware, parallel implementations and applications to real-world problems. The papers are organized in the following topical sections: numerical optimization; combinatorial optimization; genetic programming; multi-objective optimization; parallel and distributed frameworks; runtime analysis and approximation results; fitness landscape modeling and analysis; algorithm configuration, selection, and benchmarking; machine learning and evolutionary algorithms; and applications. Also included are the descriptions of 23 tutorials and 6 workshops which took place in the framework of PPSN XV.

Parallel Problem Solving from Nature – PPSN XV

Anne Auger,Carlos M. Fonseca,Nuno Lourenço,Penousal Machado,Luís Paquete,Darrell Whitley
Parallel Problem Solving from Nature PPSN XV Book PDF

Author : Anne Auger,Carlos M. Fonseca,Nuno Lourenço,Penousal Machado,Luís Paquete,Darrell Whitley
Publisher : Springer
Page : 501 pages
File Size : 46,8 Mb
Release : 2018-08-30
Category : Computers
ISBN : 9783319992594

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Parallel Problem Solving from Nature – PPSN XV by Anne Auger,Carlos M. Fonseca,Nuno Lourenço,Penousal Machado,Luís Paquete,Darrell Whitley Pdf

This two-volume set LNCS 11101 and 11102 constitutes the refereed proceedings of the 15th International Conference on Parallel Problem Solving from Nature, PPSN 2018, held in Coimbra, Portugal, in September 2018. The 79 revised full papers were carefully reviewed and selected from 205 submissions. The papers cover a wide range of topics in natural computing including evolutionary computation, artificial neural networks, artificial life, swarm intelligence, artificial immune systems, self-organizing systems, emergent behavior, molecular computing, evolutionary robotics, evolvable hardware, parallel implementations and applications to real-world problems. The papers are organized in the following topical sections: numerical optimization; combinatorial optimization; genetic programming; multi-objective optimization; parallel and distributed frameworks; runtime analysis and approximation results; fitness landscape modeling and analysis; algorithm configuration, selection, and benchmarking; machine learning and evolutionary algorithms; and applications. Also included are the descriptions of 23 tutorials and 6 workshops which took place in the framework of PPSN XV.

Parallel Problem Solving from Nature-PPSN VI

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

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.

Nature-Inspired Computation in Engineering

Xin-She Yang
Nature Inspired Computation in Engineering Book PDF

Author : Xin-She Yang
Publisher : Springer
Page : 276 pages
File Size : 42,8 Mb
Release : 2016-03-19
Category : Technology & Engineering
ISBN : 9783319302355

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Nature-Inspired Computation in Engineering by Xin-She Yang Pdf

This timely review book summarizes the state-of-the-art developments in nature-inspired optimization algorithms and their applications in engineering. Algorithms and topics include the overview and history of nature-inspired algorithms, discrete firefly algorithm, discrete cuckoo search, plant propagation algorithm, parameter-free bat algorithm, gravitational search, biogeography-based algorithm, differential evolution, particle swarm optimization and others. Applications include vehicle routing, swarming robots, discrete and combinatorial optimization, clustering of wireless sensor networks, cell formation, economic load dispatch, metamodeling, surrogated-assisted cooperative co-evolution, data fitting and reverse engineering as well as other case studies in engineering. This book will be an ideal reference for researchers, lecturers, graduates and engineers who are interested in nature-inspired computation, artificial intelligence and computational intelligence. It can also serve as a reference for relevant courses in computer science, artificial intelligence and machine learning, natural computation, engineering optimization and data mining.

Genetic Programming Theory and Practice XV

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

Author : Wolfgang Banzhaf,Randal S. Olson,William Tozier,Rick Riolo
Publisher : Springer
Page : 187 pages
File Size : 47,6 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.

Parallel Problem Solving from Nature -- PPSN XV

Anne Auger,Carlos M. da Fonseca,Nuno Lourenço,Penousal Machado,Luis F. Paquete,L. Darrell Whitley
Parallel Problem Solving from Nature PPSN XV Book PDF

Author : Anne Auger,Carlos M. da Fonseca,Nuno Lourenço,Penousal Machado,Luis F. Paquete,L. Darrell Whitley
Publisher : Unknown
Page : 501 pages
File Size : 51,6 Mb
Release : 2018
Category : Evolutionary computation
ISBN : 3319992600

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Parallel Problem Solving from Nature -- PPSN XV by Anne Auger,Carlos M. da Fonseca,Nuno Lourenço,Penousal Machado,Luis F. Paquete,L. Darrell Whitley Pdf

This two-volume set LNCS 11101 and 11102 constitutes the refereed proceedings of the 15th International Conference on Parallel Problem Solving from Nature, PPSN 2018, held in Coimbra, Portugal, in September 2018. The 79 revised full papers were carefully reviewed and selected from 205 submissions. The papers cover a wide range of topics in natural computing including evolutionary computation, artificial neural networks, artificial life, swarm intelligence, artificial immune systems, self-organizing systems, emergent behavior, molecular computing, evolutionary robotics, evolvable hardware, parallel implementations and applications to real-world problems. The papers are organized in the following topical sections: numerical optimization; combinatorial optimization; genetic programming; multi-objective optimization; parallel and distributed frameworks; runtime analysis and approximation results; fitness landscape modeling and analysis; algorithm configuration, selection, and benchmarking; machine learning and evolutionary algorithms; and applications. Also included are the descriptions of 23 tutorials and 6 workshops which took place in the framework of PPSN XV.

Inspired by Nature

Susan Stepney,Andrew Adamatzky
Inspired by Nature Book PDF

Author : Susan Stepney,Andrew Adamatzky
Publisher : Springer
Page : 387 pages
File Size : 55,8 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.

Multimodal Optimization by Means of Evolutionary Algorithms

Mike Preuss
Multimodal Optimization by Means of Evolutionary Algorithms Book PDF

Author : Mike Preuss
Publisher : Springer
Page : 189 pages
File Size : 42,9 Mb
Release : 2015-11-27
Category : Computers
ISBN : 9783319074078

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Multimodal Optimization by Means of Evolutionary Algorithms by Mike Preuss Pdf

This book offers the first comprehensive taxonomy for multimodal optimization algorithms, work with its root in topics such as niching, parallel evolutionary algorithms, and global optimization. The author explains niching in evolutionary algorithms and its benefits; he examines their suitability for use as diagnostic tools for experimental analysis, especially for detecting problem (type) properties; and he measures and compares the performances of niching and canonical EAs using different benchmark test problem sets. His work consolidates the recent successes in this domain, presenting and explaining use cases, algorithms, and performance measures, with a focus throughout on the goals of the optimization processes and a deep understanding of the algorithms used. The book will be useful for researchers and practitioners in the area of computational intelligence, particularly those engaged with heuristic search, multimodal optimization, evolutionary computing, and experimental analysis.

Genetic Programming Theory and Practice XI

Rick Riolo,Jason H. Moore,Mark Kotanchek
Genetic Programming Theory and Practice XI Book PDF

Author : Rick Riolo,Jason H. Moore,Mark Kotanchek
Publisher : Springer Science & Business Media
Page : 227 pages
File Size : 40,5 Mb
Release : 2014-04-01
Category : Computers
ISBN : 9781493903757

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Genetic Programming Theory and Practice XI by Rick Riolo,Jason H. Moore,Mark Kotanchek 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: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud – communication, cooperation, flexible implementation, and ensemble methods. Additional focal points for GP symbolic regression are: (1) The need to guarantee convergence to solutions in the function discovery mode; (2) Issues on model validation; (3) The need for model analysis workflows for insight generation based on generated GP solutions – model exploration, visualization, variable selection, dimensionality analysis; (4) Issues in combining different types of data. 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.

Genetic Programming Theory and Practice XII

Rick Riolo,William P. Worzel,Mark Kotanchek
Genetic Programming Theory and Practice XII Book PDF

Author : Rick Riolo,William P. Worzel,Mark Kotanchek
Publisher : Springer
Page : 182 pages
File Size : 44,5 Mb
Release : 2015-06-04
Category : Computers
ISBN : 9783319160306

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Genetic Programming Theory and Practice XII by Rick Riolo,William P. Worzel,Mark Kotanchek 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: gene expression regulation, novel genetic models for glaucoma, inheritable epigenetics, combinators in genetic programming, sequential symbolic regression, system dynamics, sliding window symbolic regression, large feature problems, alignment in the error space, HUMIE winners, Boolean multiplexer function, and highly distributed genetic programming systems. Application areas include chemical process control, circuit design, financial data mining and bioinformatics. 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.