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The two volume set LNCS 3102/3103 constitutes the refereed proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2004, held in Seattle, WA, USA, in June 2004. The 230 revised full papers and 104 poster papers presented were carefully reviewed and selected from 460 submissions. The papers are organized in topical sections on artificial life, adaptive behavior, agents, and ant colony optimization; artificial immune systems, biological applications; coevolution; evolutionary robotics; evolution strategies and evolutionary programming; evolvable hardware; genetic algorithms; genetic programming; learning classifier systems; real world applications; and search-based software engineering.
Genetic algorithms --- Parallel processing (Electronic computers) --- Data processing --- Evolutionary computation. --- Genetic computation. --- GAs (Algorithms) --- Genetic searches (Algorithms) --- Computer science. --- Microprocessors. --- Computers. --- Algorithms. --- Computer science --- Artificial intelligence. --- Bioinformatics. --- Computer Science. --- Computation by Abstract Devices. --- Algorithm Analysis and Problem Complexity. --- Artificial Intelligence (incl. Robotics). --- Processor Architectures. --- Discrete Mathematics in Computer Science. --- Mathematics. --- Computer Science, general. --- Algorithms --- Combinatorial optimization --- Evolutionary computation --- Genetic programming (Computer science) --- Learning classifier systems --- Computer software. --- Computational complexity. --- Artificial Intelligence. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Complexity, Computational --- Electronic data processing --- Machine theory --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Software, Computer --- Computer systems --- Informatics --- Science --- Computer science—Mathematics. --- Minicomputers --- Algorism --- Algebra --- Arithmetic --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Cybernetics --- Calculators --- Cyberspace --- Foundations --- Genetic algorithms - Data processing - Congresses --- Parallel processing (Electronic computers) - Congresses
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Evolutionary programming (Computer science). --- Mathematical optimization. --- Multiple criteria decision making. --- Evolutionary programming (Computer science) --- Mathematical optimization --- Multiple criteria decision making --- Decision making with multiple objectives --- MCDM (Decision making) --- Multiattribute decisions --- Multicriteria decision analysis --- Multicriteria decision making --- Multicriteria decision making analysis --- Multiobjective decision making --- Multiple objective decision making --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Artificial intelligence. Robotics. Simulation. Graphics --- Basic Sciences. Mathematics --- Mathematical Models, Simulation Models. --- Decision making --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Computer programming --- Evolutionärer Algorithmus ; SWD-ID: 43669128 --- Mehrkriterielle Optimierung ; SWD-ID: 46106820 --- Analyse multivariée --- Algorithmes evolutionnaires
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This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based methodology; multi-objective based methodology; new constraint handling mechanism; hybrid methodology; scaling issues in constrained optimization; design of scalable test problems; parameter adaptation in constrained optimization; handling of integer, discrete and mix variables in addition to continuous variables; application of constraint handling techniques to real-world problems; and constrained optimization in dynamic environment. There is also a separate chapter on hybrid optimization, which is gaining lots of popularity nowadays due to its capability of bridging the gap between evolutionary and classical optimization. The material in the book is useful to researchers, novice, and experts alike. The book will also be useful for classroom teaching and future research.
Engineering. --- Computational Intelligence. --- Artificial Intelligence (incl. Robotics). --- Mechanical Engineering. --- Optimization. --- Artificial intelligence. --- Mathematical optimization. --- Mechanical engineering. --- Ingénierie --- Intelligence artificielle --- Optimisation mathématique --- Génie mécanique --- Engineering & Applied Sciences --- Computer Science --- Constrained optimization. --- Optimization, Constrained --- Computational intelligence. --- Engineering, Mechanical --- Engineering --- Machinery --- Steam engineering --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- 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 --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Mathematical optimization --- Artificial Intelligence.
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This book constitutes the refereed proceedings of the 8th International Symposium on Search-Based Software Engineering, SSBSE 2016, held in Raleigh, NC, USA, in October 2016.The 13 revised full papers and 4 short papers presented together with 7 challenge track and 4 graduate student track papers were carefully reviewed and selected from 48 submissions. Search Based Software Engineering (SBSE) studies the application of meta-heuristic optimization techniques to various software engineering problems, ranging from requirements engineering to software testing and maintenance.
Computer science. --- Computer programming. --- Software engineering. --- Programming languages (Electronic computers). --- Computers. --- Algorithms. --- Pattern recognition. --- Computer Science. --- Software Engineering. --- Algorithm Analysis and Problem Complexity. --- Programming Techniques. --- Computation by Abstract Devices. --- Programming Languages, Compilers, Interpreters. --- Pattern Recognition. --- Computer software engineering --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Informatics --- Design perception --- Pattern recognition --- Algorism --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Programming --- Engineering --- Coding theory --- Science --- Form perception --- Perception --- Figure-ground perception --- Algebra --- Arithmetic --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Languages, Artificial --- Foundations --- Computer software. --- Optical pattern recognition. --- Software, Computer --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Software engineering
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Computer simulation --- Evolutionary programming (Computer science) --- Artificial intelligence --- Engineering & Applied Sciences --- Computer Science --- Computer science. --- Computer programming. --- Computers. --- Data mining. --- Artificial intelligence. --- Computer simulation. --- Computer Science. --- Programming Techniques. --- Theory of Computation. --- Data Mining and Knowledge Discovery. --- Computation by Abstract Devices. --- Artificial Intelligence (incl. Robotics). --- Simulation and Modeling. --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated 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 --- 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 --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Informatics --- Science --- Programming --- Information theory. --- Artificial Intelligence. --- Communication theory --- Communication --- Kanpur <2010> --- Computer Modelling.
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This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based methodology; multi-objective based methodology; new constraint handling mechanism; hybrid methodology; scaling issues in constrained optimization; design of scalable test problems; parameter adaptation in constrained optimization; handling of integer, discrete and mix variables in addition to continuous variables; application of constraint handling techniques to real-world problems; and constrained optimization in dynamic environment. There is also a separate chapter on hybrid optimization, which is gaining lots of popularity nowadays due to its capability of bridging the gap between evolutionary and classical optimization. The material in the book is useful to researchers, novice, and experts alike. The book will also be useful for classroom teaching and future research.
Numerical methods of optimisation --- Operational research. Game theory --- Engineering sciences. Technology --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- neuronale netwerken --- fuzzy logic --- cybernetica --- automatisering --- wiskunde --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- AI (artificiële intelligentie)
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Multiobjective problems involve several competing measures of solution quality, and multiobjective evolutionary algorithms (MOEAs) and multiobjective problem solving have become important topics of research in the evolutionary computation community over the past 10 years. This is an advanced text aimed at researchers and practitioners in the area of search and optimization. The book focuses on how MOEAs and related techniques can be used to solve problems, particularly in the disciplines of science and engineering. Contributions by leading researchers show how the concepts of multiobjective optimization can be used to reformulate and resolve problems in broad areas such as constrained optimization, coevolution, classification, inverse modelling and design. The book is distinguished from other texts on MOEAs in that it is not primarily about the algorithms, nor specific applications, but about the concepts and processes involved in solving problems using a multiobjective approach. Each chapter contributes to the central, deep concepts and themes of the book: evaluating the utility of the multiobjective approach; discussing alternative problem formulations; showing how problem formulation affects the search process; and examining solution selection and decision making. The book will be of benefit to researchers, practitioners and graduate students engaged with optimization-based problem solving. For multiobjective optimization experts, the book is an up-to-date account of emerging and advanced topics; for others, the book indicates how the multiobjective approach can lead to fresh insights.
Evolutionary computation. --- Evolutionary programming (Computer science) --- Computer programming --- Computation, Evolutionary --- Neural networks (Computer science) --- Information Technology --- Artificial Intelligence --- Artificial intelligence. --- Mathematical optimization. --- Engineering design. --- Information theory. --- Artificial Intelligence. --- Optimization. --- Engineering Design. --- Theory of Computation. --- Communication theory --- Communication --- Cybernetics --- Design, Engineering --- Engineering --- Industrial design --- Strains and stresses --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- 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 --- Fifth generation computers --- Neural computers --- Design --- Computers. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Calculators --- Cyberspace --- Computer science. --- Informatics --- Science
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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.
Parallel processing (Electronic computers) --- Evolutionary computation --- Computer Science --- Engineering & Applied Sciences --- Computer science. --- Computer programming. --- Computers. --- Algorithms. --- Artificial intelligence. --- Bioinformatics. --- Computational biology. --- Computer Science. --- Programming Techniques. --- Computation by Abstract Devices. --- Algorithm Analysis and Problem Complexity. --- Artificial Intelligence (incl. Robotics). --- Computer Appl. in Life Sciences. --- Biology --- Bioinformatics --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- 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 --- Algorism --- Algebra --- Arithmetic --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Informatics --- Science --- Data processing --- Foundations --- Programming --- Computer software. --- Artificial Intelligence. --- Data processing. --- Software, Computer --- Bioinformatics . --- Computational biology .
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