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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.
Artificial intelligence. Robotics. Simulation. Graphics --- Evolutionary programming (Computer science) --- Genetic algorithms --- Congresses. --- Congresses --- Artificial intelligence. --- Information theory. --- Computer science. --- Computer software. --- Optical pattern recognition. --- Artificial Intelligence. --- Theory of Computation. --- Mathematical Modeling and Industrial Mathematics. --- Computation by Abstract Devices. --- Algorithm Analysis and Problem Complexity. --- Pattern Recognition. --- Communication theory --- Communication --- Cybernetics --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Software, Computer --- Computer systems --- Informatics --- Science --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Evolutionary programming (Computer science) - Congresses. --- Genetic algorithms - Congresses.
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This volume collects a selection of contributions which has been presented at the 22nd Italian Workshop on Neural Networks, the yearly meeting of the Italian Society for Neural Networks (SIREN). The conference was held in Italy, Vietri sul Mare (Salerno), during May 17-19, 2012. The annual meeting of SIREN is sponsored by International Neural Network Society (INNS), European Neural Network Society (ENNS) and IEEE Computational Intelligence Society (CIS). The book – as well as the workshop- is organized in three main components, two special sessions and a group of regular sessions featuring different aspects and point of views of artificial neural networks and natural intelligence, also including applications of present compelling interest.
Genetic algorithms -- Congresses. --- Genetic algorithms. --- Neural networks (Computer science) -- Congresses. --- Neural networks (Computer science). --- Engineering & Applied Sciences --- Computer Science --- Neural networks (Computer science) --- Engineering. --- Artificial intelligence. --- Computational intelligence. --- Computational Intelligence. --- Artificial Intelligence (incl. Robotics). --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Artificial Intelligence.
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This book contains a selection of strictly refereed papers presented at the First International Conference on the Practice and Theory of Automated Timetabling, held in Edinburgh, UK, August/September 1995. This is the first book entirely devoted to automated timetabling and meets the clear need for a wide-ranging survey of the state of the art in the area. The book contains four survey papers by leading experts together with 19 revised full papers presenting new results; the papers are organized in topical sections on reasoning about constraints, genetic algorithms, complexity issues, and tabu search and simulated annealing.
Artificial intelligence. Robotics. Simulation. Graphics --- Constraints (Artificial intelligence) --- Scheduling --- Genetic algorithms --- Data processing --- Congresses. --- 681.3*I2 --- Artificial intelligence. AI --- Conferences - Meetings --- 681.3*I2 Artificial intelligence. AI --- Congresses --- Schedules --- Production management. --- Information theory. --- Computer software. --- Artificial intelligence. --- Information technology. --- Operations Management. --- Theory of Computation. --- Algorithm Analysis and Problem Complexity. --- Artificial Intelligence. --- Information Systems Applications (incl. Internet). --- IT in Business. --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Software, Computer --- Computer systems --- Communication theory --- Communication --- Cybernetics --- Manufacturing management --- Industrial management --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Constraints (Artificial intelligence) - Data processing - Congresses. --- Scheduling - Data processing - Congresses. --- Genetic algorithms - Congresses.
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This volume contains the best carefully revised full papers selected from the presentations accepted for the AI '93 and AI '94 Workshop on Evolutionary Computation held in Australia. The 21 papers included cover a wide range of topics in the field of evolutionary computation, from constrained function optimization to combinatorial optimization, from evolutionary programming to genetic programming, from robotic strategy learning to co-evolutionary game strategy learning. The papers reflect important recent progress in the field; more than half of the papers come from overseas.
Evolutionary programming (Computer science) --- Genetic algorithms --- Artificial intelligence --- Congresses. --- Congresses --- Artificial intelligence. --- Numerical analysis. --- Distribution (Probability theory. --- Statistics. --- Operations research. --- Combinatorics. --- Artificial Intelligence. --- Numerical Analysis. --- Probability Theory and Stochastic Processes. --- Statistics, general. --- Operations Research/Decision Theory. --- Combinatorics --- Algebra --- Mathematical analysis --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Evolutionary programming (Computer science) - Congresses. --- Genetic algorithms - Congresses. --- Artificial intelligence - Congresses.
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One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values. Typically these are specified before the algorithm is run and include population size, selection rate, operator probabilities, not to mention the representation and the operators themselves. This book gives the reader a solid perspective on the different approaches that have been proposed to automate control of these parameters as well as understanding their interactions. The book covers a broad area of evolutionary computation, including genetic algorithms, evolution strategies, genetic programming, estimation of distribution algorithms, and also discusses the issues of specific parameters used in parallel implementations, multi-objective evolutionary algorithms, and practical consideration for real-world applications. It is a recommended read for researchers and practitioners of evolutionary computation and heuristic methods.
Evolutionary computation --- Genetic algorithms --- Réseaux neuronaux à structure évolutive --- Algorithmes génétiques --- Electronic books. -- local. --- Evolutionary computation -- Congresses. --- Genetic algorithms -- Congresses. --- Operations Research --- Applied Mathematics --- Civil Engineering --- Computer Science --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Evolutionary computation. --- Genetic algorithms. --- Engineering. --- Artificial intelligence. --- Applied mathematics. --- Engineering mathematics. --- Appl.Mathematics/Computational Methods of Engineering. --- Artificial Intelligence (incl. Robotics). --- Mathematical and Computational Engineering. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Engineering --- Engineering analysis --- Mathematical analysis --- Mathematics --- Computation, Evolutionary --- Neural networks (Computer science) --- GAs (Algorithms) --- Genetic searches (Algorithms) --- Algorithms --- Combinatorial optimization --- Genetic programming (Computer science) --- Learning classifier systems
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The field of large-scale dimensional metrology (LSM) deals with objects that have linear dimensions ranging from tens to hundreds of meters. It has recently attracted a great deal of interest in many areas of production, including the automotive, railway, and shipbuilding sectors. Distributed Large-Scale Dimensional Metrology introduces a new paradigm in this field that reverses the classical metrological approach: measuring systems that are portable and can be easily moved around the location of the measured object, which is preferable to moving the object itself. Distributed Large-Scale Dimensional Metrology combines the concepts of distributed systems and large-scale metrology at the application level. It focuses on the latest insights and challenges of this new generation of systems from the perspective of the designers and developers. The main topics are: coverage of measuring area, sensors calibration, on-line diagnostics, probe management, and analysis of metrological performance. The general descriptions of each topic are further enriched by specific examples concerning the use of commercially available systems or the development of new prototypes. This will be particularly useful for professional practitioners such as quality engineers, manufacturing and development engineers, and procurement specialists, but Distributed Large-Scale Dimensional Metrology also has a wealth of information for interested academics.
Evolutionary programming (Computer science) -- Congresses. --- Genetic algorithms -- Congresses. --- Measurement -- Congresses. --- Physical measurements -- Congresses. --- Physics --- Mechanical Engineering --- Physical Sciences & Mathematics --- Engineering & Applied Sciences --- Weights & Measures --- Mechanical Engineering - General --- Light & Optics --- Optical measurements. --- Integrated circuits --- Metrology. --- Very large scale integration. --- Very large scale integration of circuits --- VLSI circuits --- Engineering. --- Computer-aided engineering. --- Mathematical models. --- Physical measurements. --- Measurement. --- Manufacturing industries. --- Machines. --- Tools. --- Manufacturing, Machines, Tools. --- Measurement Science and Instrumentation. --- Mathematical Modeling and Industrial Mathematics. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Science --- Measurement --- Weights and measures --- Physical measurements --- Manufactures. --- Computer aided design. --- Manufacturing, Machines, Tools, Processes. --- CAD (Computer-aided design) --- Computer-assisted design --- Computer-aided engineering --- Design --- Manufactured goods --- Manufactured products --- Products --- Products, Manufactured --- Commercial products --- Manufacturing industries --- Measurement . --- CAE --- Engineering --- Models, Mathematical --- Simulation methods --- Measuring --- Mensuration --- Mathematics --- Technology --- Metrology --- Measurements, Physical --- Mathematical physics --- Data processing
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The work embodied in this volume was presented across three consecutive e- tions of the International Workshop on Learning Classi?er Systems that took place in Chicago (2003), Seattle (2004), and Washington (2005). The Genetic and Evolutionary Computation Conference, the main ACM SIGEvo conference, hosted these three editions. The topics presented in this volume summarize the wide spectrum of interests of the Learning Classi?er Systems (LCS) community. The topics range from theoretical analysis of mechanisms to practical cons- eration for successful application of such techniques to everyday data-mining tasks. When we started editing this volume, we faced the choice of organizing the contents in a purely chronologicalfashion or as a sequence of related topics that help walk the reader across the di?erent areas. In the end we decided to or- nize the contents by area, breaking the time-line a little. This is not a simple endeavor as we can organize the material using multiple criteria. The tax- omy below is our humble e?ort to provide a coherent grouping. Needless to say, some works may fall in more than one category. The four areas are as follows: Knowledge representation. These chapters elaborate on the knowledge r- resentations used in LCS. Knowledge representation is a key issue in any learning system and has implications for what it is possible to learn and what mechanisms shouldbe used. Four chapters analyze di?erent knowledge representations and the LCS methods used to manipulate them.
Machine learning --- Apprentissage automatique --- Congresses. --- Congrès --- Electronic books. -- local. --- Genetic algorithms -- Congresses. --- Machine learning -- Congresses. --- Reinforcement learning -- Congresses. --- Mechanical Engineering --- Engineering & Applied Sciences --- Computer Science --- Mechanical Engineering - General --- Information Technology --- Artificial Intelligence --- Genetic algorithms --- Reinforcement learning --- Computer science. --- Computers. --- Mathematical logic. --- Data mining. --- Artificial intelligence. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Computation by Abstract Devices. --- Mathematical Logic and Formal Languages. --- Data Mining and Knowledge Discovery. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Mathematics --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Informatics --- Science --- Reinforcement (Psychology) --- Learning classifier systems --- Artificial Intelligence.
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The Arti?cial Evolution conference was originally conceived as a forum for the French-speaking Evolutionary Computation community, but has of late been acquiring an European audience, with several papers from Germany, Austria, Italy, Spain... However, AE remains as intended a small and friendly gathering, which will continue to be held every two years. Previous AE meets were held in Toulouse, Brest, and Nˆ ?mes. This year, the hosting was done by the LIL (Laboratoire d’Informatique du Littoral) in the not-so-cold city of Dunkerque. The invited talk on “Fitness Landscapes and Evolutionary Algorithms” was delivered by Colin Reeves of Coventry University This volume contains a selection of the papers presented at the conference. Twenty-seven papers were presented orally at the conference, selected from over 40 papers refereed by the program committee. After the conference, each p- sentation was reviewed and 20 papers were retained and revised for publication in this volume. The papers in this volume have been grouped into the following ?ve sections which more or less re?ect the organization of the oral presentations. 1. Invited Paper: C. Reeves brightly describes the state of the art in Fitness Landscapes.
Evolutionary programming (Computer science) --- Genetic algorithms --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer science. --- Computer programming. --- Computers. --- Algorithms. --- Artificial intelligence. --- Pattern recognition. --- Bioinformatics. --- Computational biology. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Programming Techniques. --- Computation by Abstract Devices. --- Algorithm Analysis and Problem Complexity. --- Computer Appl. in Life Sciences. --- Pattern Recognition. --- Computer software. --- Biology --- Optical pattern recognition. --- Artificial Intelligence. --- Data processing. --- Software, Computer --- Computer systems --- Informatics --- Science --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Bioinformatics . --- Computational biology . --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Bioinformatics --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Algorism --- Algebra --- Arithmetic --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Cybernetics --- Calculators --- Cyberspace --- Programming --- Data processing --- Foundations --- Evolutionary programming (Computer science) - Congresses --- Genetic algorithms - Congresses --- Pattern perception.
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