Parallel Problem Solving From Nature Ppsn Xiv

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Parallel Problem Solving from Nature – PPSN XIV

Author : Julia Handl
Publisher : Springer
ISBN 13 : 331945823X
Total Pages : 1026 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Parallel Problem Solving from Nature – PPSN XIV by : Julia Handl

Download or read book Parallel Problem Solving from Nature – PPSN XIV written by Julia Handl and published by Springer. This book was released on 2016-08-30 with total page 1026 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Parallel Problem Solving from Nature – PPSN XV

Author : Anne Auger
Publisher : Springer
ISBN 13 : 3319992538
Total Pages : 539 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Parallel Problem Solving from Nature – PPSN XV by : Anne Auger

Download or read book Parallel Problem Solving from Nature – PPSN XV written by Anne Auger and published by Springer. This book was released on 2018-08-30 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 III

Author : Yuval Davidor
Publisher : Springer Science & Business Media
ISBN 13 : 9783540584841
Total Pages : 664 pages
Book Rating : 4.5/5 (848 download)

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Book Synopsis Parallel Problem Solving from Nature - PPSN III by : Yuval Davidor

Download or read book Parallel Problem Solving from Nature - PPSN III written by Yuval Davidor and published by Springer Science & Business Media. This book was released on 1994-09-21 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Parallel Problem Solving from Nature – PPSN XVII

Author : Günter Rudolph
Publisher : Springer Nature
ISBN 13 : 3031147219
Total Pages : 643 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Parallel Problem Solving from Nature – PPSN XVII by : Günter Rudolph

Download or read book Parallel Problem Solving from Nature – PPSN XVII written by Günter Rudolph and published by Springer Nature. This book was released on 2022-08-15 with total page 643 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

High-Performance Simulation-Based Optimization

Author : Thomas Bartz-Beielstein
Publisher : Springer
ISBN 13 : 3030187640
Total Pages : 291 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis High-Performance Simulation-Based Optimization by : Thomas Bartz-Beielstein

Download or read book High-Performance Simulation-Based Optimization written by Thomas Bartz-Beielstein and published by Springer. This book was released on 2019-06-01 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state of the art in designing high-performance algorithms that combine simulation and optimization in order to solve complex optimization problems in science and industry, problems that involve time-consuming simulations and expensive multi-objective function evaluations. As traditional optimization approaches are not applicable per se, combinations of computational intelligence, machine learning, and high-performance computing methods are popular solutions. But finding a suitable method is a challenging task, because numerous approaches have been proposed in this highly dynamic field of research. That’s where this book comes in: It covers both theory and practice, drawing on the real-world insights gained by the contributing authors, all of whom are leading researchers. Given its scope, if offers a comprehensive reference guide for researchers, practitioners, and advanced-level students interested in using computational intelligence and machine learning to solve expensive optimization problems.

Parallel Problem Solving from Nature – PPSN XVII

Author : Günter Rudolph
Publisher : Springer Nature
ISBN 13 : 3031147146
Total Pages : 632 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Parallel Problem Solving from Nature – PPSN XVII by : Günter Rudolph

Download or read book Parallel Problem Solving from Nature – PPSN XVII written by Günter Rudolph and published by Springer Nature. This book was released on 2022-08-13 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Parallel Problem Solving from Nature - PPSN V

Author : Agoston E. Eiben
Publisher : Springer Science & Business Media
ISBN 13 : 9783540650782
Total Pages : 1076 pages
Book Rating : 4.6/5 (57 download)

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Book Synopsis Parallel Problem Solving from Nature - PPSN V by : Agoston E. Eiben

Download or read book Parallel Problem Solving from Nature - PPSN V written by Agoston E. Eiben and published by Springer Science & Business Media. This book was released on 1998-09-16 with total page 1076 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 VIII

Author : Xin Yao
Publisher : Springer Science & Business Media
ISBN 13 : 3540230920
Total Pages : 1204 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Parallel Problem Solving from Nature - PPSN VIII by : Xin Yao

Download or read book Parallel Problem Solving from Nature - PPSN VIII written by Xin Yao and published by Springer Science & Business Media. This book was released on 2004-09-13 with total page 1204 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Parallel Problem Solving from Nature, PPSN 2004, held in Birmingham, UK, in September 2004. The 119 revised full papers presented were carefully reviewed and selected from 358 submissions. The papers address all current issues in biologically inspired computing; they are organized in topical sections on theoretical and foundational issues, new algorithms, applications, multi-objective optimization, co-evolution, robotics and multi-agent systems, and learning classifier systems and data mining.

Parallel Problem Solving from Nature-PPSN VI

Author : Marc Schoenauer
Publisher : Springer
ISBN 13 : 3540453563
Total Pages : 920 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Parallel Problem Solving from Nature-PPSN VI by : Marc Schoenauer

Download or read book Parallel Problem Solving from Nature-PPSN VI written by Marc Schoenauer and published by Springer. This book was released on 2007-12-07 with total page 920 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Modelling and Optimization of Wave Energy Converters

Author : Dezhi Ning
Publisher : CRC Press
ISBN 13 : 1000629112
Total Pages : 384 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Modelling and Optimization of Wave Energy Converters by : Dezhi Ning

Download or read book Modelling and Optimization of Wave Energy Converters written by Dezhi Ning and published by CRC Press. This book was released on 2022-07-28 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wave energy offers a promising renewable energy source, however, technologies converting wave energy into useful electricity face many design challenges. This guide presents numerical modelling and optimization methods for the development of wave energy converter technologies, from principles to applications. It covers the development status and perspectives of wave energy converter systems; the fundamental theories on wave power absorption; the modern wave energy converter concepts including oscillating bodies in single and multiple degree of freedom and oscillating water column technologies; and the relatively hitherto unexplored topic of wave energy harvesting farms. It can be used as a specialist student textbook as well as a reference book for the design of wave energy harvesting systems, across a broad range of disciplines, including renewable energy, marine engineering, infrastructure engineering, hydrodynamics, ocean science, and mechatronics engineering. The Open Access version of this book, available at www.routledge.com has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

Parallel Problem Solving from Nature - PPSN X

Author : Günter Rudolph
Publisher : Springer
ISBN 13 : 3540877002
Total Pages : 1183 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Parallel Problem Solving from Nature - PPSN X by : Günter Rudolph

Download or read book Parallel Problem Solving from Nature - PPSN X written by Günter Rudolph and published by Springer. This book was released on 2008-09-16 with total page 1183 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Evolutionary Algorithms in Intelligent Systems

Author : Alfredo Milani
Publisher : MDPI
ISBN 13 : 3039436112
Total Pages : 144 pages
Book Rating : 4.0/5 (394 download)

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Book Synopsis Evolutionary Algorithms in Intelligent Systems by : Alfredo Milani

Download or read book Evolutionary Algorithms in Intelligent Systems written by Alfredo Milani and published by MDPI. This book was released on 2020-12-07 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Intelligence

Author : Juan Julián Merelo
Publisher : Springer Nature
ISBN 13 : 3030705943
Total Pages : 414 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Computational Intelligence by : Juan Julián Merelo

Download or read book Computational Intelligence written by Juan Julián Merelo and published by Springer Nature. This book was released on 2021-07-01 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This present book includes a set of selected revised and extended versions of the best papers presented at the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) – held in Vienna, Austria, from 17 to 19 September 2019. The authors focus on three outstanding fields of Computational Intelligence through the selected panel, namely Evolutionary Computation, Fuzzy Computation and Neural Computation. Besides presenting the recent advances of the selected areas, the book aims to aggregate new and innovative solutions for confirmed researchers and, on the other hand, to provide a source of information and/or inspiration for young interested researchers or learners in the ever-expanding and current filed of Computational Intelligence. It constitutes a precious provision of knowledge for individual researchers as well as represents a valuable sustenance for collective use in academic libraries (of universities and engineering schools) relating innovative techniques in various fields of applications.

Metaheuristics for Finding Multiple Solutions

Author : Mike Preuss
Publisher : Springer Nature
ISBN 13 : 3030795535
Total Pages : 322 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Metaheuristics for Finding Multiple Solutions by : Mike Preuss

Download or read book Metaheuristics for Finding Multiple Solutions written by Mike Preuss and published by Springer Nature. This book was released on 2021-10-22 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest trends and developments in multimodal optimization and niching techniques. Most existing optimization methods are designed for locating a single global solution. However, in real-world settings, many problems are “multimodal” by nature, i.e., multiple satisfactory solutions exist. It may be desirable to locate several such solutions before deciding which one to use. Multimodal optimization has been the subject of intense study in the field of population-based meta-heuristic algorithms, e.g., evolutionary algorithms (EAs), for the past few decades. These multimodal optimization techniques are commonly referred to as “niching” methods, because of the nature-inspired “niching” effect that is induced to the solution population targeting at multiple optima. Many niching methods have been developed in the EA community. Some classic examples include crowding, fitness sharing, clearing, derating, restricted tournament selection, speciation, etc. Nevertheless, applying these niching methods to real-world multimodal problems often encounters significant challenges. To facilitate the advance of niching methods in facing these challenges, this edited book highlights the latest developments in niching methods. The included chapters touch on algorithmic improvements and developments, representation, and visualization issues, as well as new research directions, such as preference incorporation in decision making and new application areas. This edited book is a first of this kind specifically on the topic of niching techniques. This book will serve as a valuable reference book both for researchers and practitioners. Although chapters are written in a mutually independent way, Chapter 1 will help novice readers get an overview of the field. It describes the development of the field and its current state and provides a comparative analysis of the IEEE CEC and ACM GECCO niching competitions of recent years, followed by a collection of open research questions and possible research directions that may be tackled in the future.

Genetic Programming Theory and Practice XIV

Author : Rick Riolo
Publisher : Springer
ISBN 13 : 3319970887
Total Pages : 227 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Genetic Programming Theory and Practice XIV by : Rick Riolo

Download or read book Genetic Programming Theory and Practice XIV written by Rick Riolo and published by Springer. This book was released on 2018-10-24 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Chapters in this volume include: Similarity-based Analysis of Population Dynamics in GP Performing Symbolic Regression Hybrid Structural and Behavioral Diversity Methods in GP Multi-Population Competitive Coevolution for Anticipation of Tax Evasion Evolving Artificial General Intelligence for Video Game Controllers A Detailed Analysis of a PushGP Run Linear Genomes for Structured Programs Neutrality, Robustness, and Evolvability in GP Local Search in GP PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification Relational Structure in Program Synthesis Problems with Analogical Reasoning An Evolutionary Algorithm for Big Data Multi-Class Classification Problems A Generic Framework for Building Dispersion Operators in the Semantic Space Assisting Asset Model Development with Evolutionary Augmentation Building Blocks of Machine Learning Pipelines for Initialization of a Data Science Automation Tool 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.

Black Box Optimization, Machine Learning, and No-Free Lunch Theorems

Author : Panos M. Pardalos
Publisher : Springer Nature
ISBN 13 : 3030665151
Total Pages : 388 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Black Box Optimization, Machine Learning, and No-Free Lunch Theorems by : Panos M. Pardalos

Download or read book Black Box Optimization, Machine Learning, and No-Free Lunch Theorems written by Panos M. Pardalos and published by Springer Nature. This book was released on 2021-05-27 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume illustrates the connections between machine learning techniques, black box optimization, and no-free lunch theorems. Each of the thirteen contributions focuses on the commonality and interdisciplinary concepts as well as the fundamentals needed to fully comprehend the impact of individual applications and problems. Current theoretical, algorithmic, and practical methods used are provided to stimulate a new effort towards innovative and efficient solutions. The book is intended for beginners who wish to achieve a broad overview of optimization methods and also for more experienced researchers as well as researchers in mathematics, optimization, operations research, quantitative logistics, data analysis, and statistics, who will benefit from access to a quick reference to key topics and methods. The coverage ranges from mathematically rigorous methods to heuristic and evolutionary approaches in an attempt to equip the reader with different viewpoints of the same problem.

Numerical and Evolutionary Optimization – NEO 2017

Author : Leonardo Trujillo
Publisher : Springer
ISBN 13 : 3319961047
Total Pages : 312 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Numerical and Evolutionary Optimization – NEO 2017 by : Leonardo Trujillo

Download or read book Numerical and Evolutionary Optimization – NEO 2017 written by Leonardo Trujillo and published by Springer. This book was released on 2018-07-12 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features 15 chapters based on the Numerical and Evolutionary Optimization (NEO 2017) workshop, held from September 27 to 29 in the city of Tijuana, Mexico. The event gathered researchers from two complimentary fields to discuss the theory, development and application of state-of-the-art techniques to address search and optimization problems. The lively event included 7 invited talks and 64 regular talks covering a wide range of topics, from evolutionary computer vision and machine learning with evolutionary computation, to set oriented numeric and steepest descent techniques. Including research submitted by the NEO community, the book provides informative and stimulating material for future research in the field.