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Digital control systems --- controlesystemen --- lineaire systemen --- feedback --- Fouriertransformatie --- Automatic control --- Electronic digital computers --- Digital control systems.
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This book presents an extensive variety of multi-objective problems across diverse disciplines, along with statistical solutions using multi-objective evolutionary algorithms (MOEAs). The topics discussed serve to promote a wider understanding as well as the use of MOEAs, the aim being to find good solutions for high-dimensional real-world design applications. The book contains a large collection of MOEA applications from many researchers, and thus provides the practitioner with detailed algorithmic direction to achieve good results in their selected problem domain.
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Application software --- Electronic data processing --- Applied computing
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This textbook is the second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly augmented with contemporary knowledge and adapted for the classroom. All the various features of multi-objective evolutionary algorithms (MOEAs) are presented in an innovative and student-friendly fashion, incorporating state-of-the-art research results. The diversity of serial and parallel MOEA structures are given, evaluated and compared. The book provides detailed insight into the application of MOEA techniques to an array of practical problems. The assortment of test suites are discussed along with the variety of appropriate metrics and relevant statistical performance techniques. Distinctive features of the new edition include: Designed for graduate courses on Evolutionary Multi-Objective Optimization, with exercises and links to a complete set of teaching material including tutorials Updated and expanded MOEA exercises, discussion questions and research ideas at the end of each chapter New chapter devoted to coevolutionary and memetic MOEAs with added material on solving constrained multi-objective problems Additional material on the most recent MOEA test functions and performance measures, as well as on the latest developments on the theoretical foundations of MOEAs An exhaustive index and bibliography This self-contained reference is invaluable to students, researchers and in particular to computer scientists, operational research scientists and engineers working in evolutionary computation, genetic algorithms and artificial intelligence. "...If you still do not know this book, then, I urge you to run-don't walk-to your nearest on-line or off-line book purveyor and click, signal or otherwise buy this important addition to our literature." -David E. Goldberg, University of Illinois at Urbana-Champaign.
Evolutionary programming (Computer science) --- Evolutionary computation. --- Computation, Evolutionary --- Neural networks (Computer science) --- Computer programming --- Computer science. --- Information theory. --- Mathematical optimization. --- Distribution (Probability theory. --- Computer software. --- Artificial intelligence. --- Programming Techniques. --- Theory of Computation. --- Optimization. --- Probability Theory and Stochastic Processes. --- Algorithm Analysis and Problem Complexity. --- 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 --- Software, Computer --- Computer systems --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Communication theory --- Communication --- Cybernetics --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- System analysis --- Informatics --- Science --- Computer programming. --- Computers. --- Probabilities. --- Algorithms. --- Algorism --- Algebra --- Arithmetic --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Calculators --- Cyberspace --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Foundations --- Programming
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