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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 First International Conference on Multi-Criterion Optimization, EMO 2001, held in Zurich, Switzerland in March 2001. The 45 revised full papers presented were carefully reviewed and selected from a total of 87 submissions. Also included are two tutorial surveys and two invited papers. The book is organized in topical sections on algorithm improvements, performance assessment and comparison, constraint handling and problem decomposition, uncertainty and noise, hybrid and alternative methods, scheduling, and applications of multi-objective optimization in a variety of fields.

Computer. Automation --- Mathematical optimization. --- Software engineering. --- Information theory. --- Computer software. --- Computational complexity. --- Artificial intelligence. --- Optimization. --- Software Engineering/Programming and Operating Systems. --- Theory of Computation. --- Algorithm Analysis and Problem Complexity. --- Discrete Mathematics in Computer Science. --- Artificial Intelligence. --- Computers. --- Algorithms. --- Computer science—Mathematics. --- 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 --- Computer software engineering --- Engineering --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- System analysis --- 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 --- Foundations

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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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With the increasing complexity and dynamism in today’s product design and manufacturing, more optimal, robust and practical approaches and systems are needed to support product design and manufacturing activities. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing presents a focused collection of quality chapters on state-of-the-art research efforts in multi-objective evolutionary optimisation, as well as their practical applications to integrated product design and manufacturing. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing consists of two major sections. The first presents a broad-based review of the key areas of research in multi-objective evolutionary optimisation. The second gives in-depth treatments of selected methodologies and systems in intelligent design and integrated manufacturing. Recent developments and innovations in multi-objective evolutionary optimisation make Multi-objective Evolutionary Optimisation for Product Design and Manufacturing a useful text for a broad readership, from academic researchers to practicing engineers.

Manufacturing processes. --- Mathematical optimization. --- Product design. --- Mechanical Engineering --- Engineering & Applied Sciences --- Industrial & Management Engineering --- Mechanical Engineering - General --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Industrial processing --- Manufacture --- Process engineering (Manufactures) --- Processes, Manufacturing --- Processing, Industrial --- Production processes --- Commercial products --- New products --- Design and construction --- Engineering. --- Computer simulation. --- Computer-aided engineering. --- Manufacturing industries. --- Machines. --- Tools. --- Manufacturing, Machines, Tools. --- Simulation and Modeling. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Industrial arts --- Production engineering --- Machine-tools --- Materials --- Industrial design --- Manufactures. --- Computer aided design. --- Manufacturing, Machines, Tools, Processes. --- CAD (Computer-aided design) --- Computer-assisted design --- Computer-aided engineering --- Design --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Model-integrated computing --- Manufactured goods --- Manufactured products --- Products --- Products, Manufactured --- Manufacturing industries --- CAE --- Engineering --- Data processing