Marc Schoenauer – författare

This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Artificial Evolution, EA 2019, held in Mulhouse, France, in October 2019.The 16 revised papers were carefully reviewed and selected from 33 submissions. The papers cover a wide range of topics in the field of artificial evolution, such as evolutionary computation, evolutionary optimization, co-evolution, artificial life, population dynamics, theory, algorithmic and modeling, implementations, application of evolutionary paradigms to the real world (industry, biosciences...), other biologically-inspired paradigms (swarm, artificial ants, artificial immune systems, cultural algorithms...), memetic algorithms, multi-objective optimization, constraint handling, parallel algorithms, dynamic optimization, machine learning and hybridization with other soft computing techniques.

This open access book explores the rapidly evolving landscape of artificial intelligence, data and robotics (ADR), highlighting their foundational principles, transformative applications and future directions. Emphasising ethical considerations, human-centric design and sustainability, it sets the stage for understanding how multidisciplinary collaboration and strategic foresight are critical to unlocking the full potential of ADR in creating a competitive, inclusive and resilient digital society.The chapters are organized in three parts and provide a comprehensive overview of the key research agendas, innovative frameworks and real-world deployments that define the current and emerging state of ADR. First, Foundations introduces the strategic, technical and conceptual foundations that underpin Europe’s ADR ecosystem. Collectively, the contributions establish a robust foundation strategically guided by the vision put forward through the European AI, Data and Robotics Association and practically informed by emerging technologies and methodologies. Next, the chapters in Transformations examine the transformative impact of ADR technologies across diverse industrial and societal domains. They provide a comprehensive and nuanced view of how ADR are reshaping industries, infrastructure and human-centred applications and emphasise the importance of interdisciplinary approaches, ethical considerations and technological innovation. Eventually, Future Directions explores the critical pathways for advancing ADR technologies through strategic planning, applied industrial innovation and human-centred approaches. The selected chapters present a coherent and forward-looking narrative: setting strategic priorities, translating them into transformative industrial applications and addressing the nuanced human factors essential for the responsible and effective deployment of ADR technologies.By exploring cutting-edge theory, technologies, methodologies, and best practices within industrial and public sector scenarios, the book provides researchers, professionals and policy makers with a basis for understanding the scientific foundations, the transformation potential, and the future research challenges of ADR technologies.

This book constitutes the refereed proceedings of the 11th International Conference on Artificial Evolution, EA 2013, held in Bordeaux, France, in October 2013.

This book constitutes the thoroughly refereedpost-conference proceedings of the 12th International Conference on ArtificialEvolution, EA 2015, held in Lyon, France, in October 2015.The 18 revised papers were carefully reviewed andselected from 31 submissions. The focus of the conference is on followingtopics: Evolutionary Computation, Evolutionary Optimization, Co-evolution,Artificial Life, Population Dynamics, Theory, Algorithmics and Modeling,Implementations, Application of Evolutionary Paradigms to the Real World,Dynamic Optimization, Machine Learning and hybridization with other softcomputing techniques.

This book constitutes the thoroughly refereed post-conference proceedings of the 13th International Conference on Artificial Evolution, EA 2017, held in Paris, France, in October 2017.The 16 revised papers were carefully reviewed and selected from 33 submissions. The papers cover a wide range of topics in the field of artificial evolution, such as evolutionary computation, evolutionary optimization, co-evolution, artificial life, population dynamics, theory, algorithmics and modeling, implementations, application of evolutionary paradigms to the real world (industry, biosciences, ...), other biologically-inspired paradigms (swarm, artificial ants, artificial immune systems, cultural algorithms...), memetic algorithms, multi-objective optimisation, constraint handling, parallel algorithms,, dynamic optimization, machine learning and hybridization with other soft computing techniques.

This book constitutes the thoroughly refereed post-proceedings of the 6th International Conference on Artificial Evolution, EA 2003, held in Marseilles, France in October 2003.The 32 revised full papers presented were carefully selected and improved during two rounds of reviewing and revision. The papers are organized in topical sections on theoretical issues, algorithmic issues, applications, implementation issues, genetic programming, coevolution and agent systems, artificial life, and cellular automata.

This book constitutes the thoroughly refereed post-proceedings of the 7th International Conference on Artificial Evolution, EA 2005, held in Lille, France, in October 2005. The 26 revised full papers presented were carefully reviewed and selected from 78 submissions. The papers cover all aspects of artificial evolution: genetic programming, machine learning, combinatorial optimization, co-evolution, self-assembling, artificial life and bioinformatics.

This book constitutes the refereed proceedings of the 6th International Conference on Parallel Problem Solving from Nature, PPSN VI, held in Paris, France in September 2000. The 87 revised full papers presented together with two invited papers were carefully reviewed and selected from 168 submissions. The presentations are organized in topical sections on analysis and theory of evolutionary algorithms, genetic programming, scheduling, representations and operators, co-evolution, constraint handling techniques, noisy and non-stationary environments, combinatorial optimization, applications, machine learning and classifier systems, new algorithms and metaphors, and multiobjective optimization.

This book constitutes the thoroughly refereed post-proceedings of the 5th International Conference on Artificial Evolution, EA 2001, held in Le Creusot, France, in October 2001. The 28 revised full papers presented together with an invited paper were carefully selected and improved during two rounds of reviewing and revision. The papers are organized in topical sections on theoretical issues, algorithmic issues, applications, implementation issues, genetic programming, constraint handling, and co-evolution and agent systems.

This volume presents a collection of revised refereed papers selected from the contributions presented at the European Conference on Artificial Evolution, AE '95, held in Brest, France, in September 1995; also included are a few papers from the predecessor conference, AE '94.Besides two invited surveys on evolution strategies and evolutionary programming, 24 full papers are presented. They are grouped into sections on evolutionary computation theory, genetic algorithm techniques, coevolution, neural networks, image processing, and applications to various optimization and other problems.

This book constitutes the thoroughly refereed post-conference proceedings of the Third European Conference on Artificial Evolution, AE '97, held in Nimes, France, in October 1997. The volume presents 22 revised full papers carefully selected for inclusion together with an invited survey on the state-of-the-art in scatter search by Fred Glover. The papers are organized in topical sections on genetic-algorithm operators, applications in various areas, theoretical issues, methodologies, and evolvable hardware and robotics.

This book constitutes the refereed proceedings of the First European Workshop on Genetic Programming, EuroGP'98, held in Paris, France, in April 1998, under the sponsorship of EvoNet, the European Network of Excellence in Evolutionary Computing.The volume presents 12 revised full papers and 10 short presentations carefully selected for inclusion in the book. The papers are organized in topical sections on experimental and theoretical studies; algorithms, representations and operators; and applications.

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.

This book constitutes the thoroughly refereed post-conference proceedings of the 4th European Conference on Artificial Evolution, AE '99, held in Dunkerque, France in November 1999. The 20 revised full papers presented together with one invited paper were carefully selected during two rounds of reviewing from initially more than 40 papers submitted. The book is divided in topical sections on genetic operators and theoretical models, applications, agents and cooperation, and heuristics and outlook.

This book is based on the best papers presented at the 8th Conference on Arti- 1 ?cial Evolution, EA 2007, held in Tours (France). Previous EA meetings took place in Lille (2005), Marseille (2003), Le Creusot (2001), Dunkerque (1999), Nimes (1997), Brest (1995), and Toulouse (1994). Authors were invited to present original work relevant to arti?cial evo- tion, including, but not limited to: evolutionary computation, evolutionary - timization, co-evolution, arti?cial life, population dynamics, theory, algori- mics and modeling, implementations, application of evolutionary paradigms to the real world (industry, biosciences, ...), other biologically inspired paradigms (swarm,arti?cialants,arti?cialimmunesystems,...),memeticalgorithms,mul- objective optimization, constraint handling, parallel algorithms, dynamic op- mization, machine learning and hybridization with other soft computing techniques. Papers submitted to the conference were reviewed by at least three members of the International ProgramCommittee, and 30 out of the 62 submissions were selected to be presented at the Conference.As for the previous editions (see, in the samecollection,volumes1063,1363,1829,2310,2936,and3871),27ofthose paperswere revisedaccordingto the reviewers'comments,and arenowincluded in this volume, resulting in a 43.5% acceptance rate for this volume.

This LNCS volume contains the best papers presented at the 9th Conference on 1 Arti?cial Evolution, EA 2009, held in Strasbourg (France). Previous EA events took place in Tours (2007, LNCS 4926), Lille (2005, LNCS 3871), Marseille (2003, LNCS 2936), Le Creusot (2001, LNCS 2310), Dunkerque (1999, LNCS 1829),Nimes (1997, LNCS 1363),Brest (1995,LNCS 1063) and Toulouse (1994, LNCS 1063). For this ninth edition, authors were invited to present their originalwork r- evantto arti?cialevolution,including,butnotlimitedto:evolutionarycompu- tion,evolutionaryoptimization,co-evolution,arti?ciallife,populationdynamics, theory, algorithmicsand modeling, implementations, application of evolutionary paradigmstotherealworld(industry,biosciences,...),otherbiologically-inspired paradigms (swarm, arti?cial ants, arti?cial immune systems, ...), memetic al- rithms, multi-objective optimization, constraint handling, parallel algorithms, dynamic optimization, machine learning and hybridization with other soft c- puting techniques.Submitted papers were reviewed by at least four members of the Inter- tional ProgramCommittee, which selected 23 papers to be presented during the conference out of 43 submissions. However, only 17 papers were included in the present volume, resulting in a 39.5% acceptance rate. We would like to thank the members of the Program Committee for their conscientious work, the authors for their greatly appreciated contributions, but also the members of the Organizing Committee who, once more, managed to put together a really enjoyable conference in Strasbourg. Finally, ?nancial and material support coming from ENSPS, Universit'ede Strasbourg, CNRS, R' egion Alsace and the EA association contributed to the success of the conference and helped to keep registration fees very low.

This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Learning and Intelligent Optimization, LION 6, held in Paris, France, in January 2012. The 23 long and 30 short revised papers were carefully reviewed and selected from a total of 99 submissions. The papers focus on the intersections and uncharted territories between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. In addition to the paper contributions the conference also included 3 invited speakers, who presented forefront research results and frontiers, and 3 tutorial talks, which were crucial in bringing together the different components of LION community.