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REVITALISATION URBAINE --- ASIE --- CHINE --- REVITALISATION URBAINE --- ASIE --- CHINE

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With the increasing applications of intelligent robotic systems in various fields, the design and control of these systems have increasingly attracted interest from researchers. This edited book entitled “Design and Control of Intelligent Robotic Systems” in the book series of “Studies in Computational Intelligence” is a collection of some advanced research on design and control of intelligent robots. The works presented range in scope from design methodologies to robot development. Various design approaches and algorithms, such as evolutionary computation, neural networks, fuzzy logic, learning, etc. are included and most studies reported in this book have been implemented in physical systems. The intended readers of this edited book are engineers, researchers, senior undergraduates, and graduate students who are interested in the field of design and control of intelligent robotic systems.

Robotics --- Soft computing --- Machine learning --- Mechanical Engineering - General --- Mechanical Engineering --- Engineering & Applied Sciences --- Robots --- Design and construction. --- Control systems. --- Robot control --- Engineering. --- Artificial intelligence. --- Applied mathematics. --- Engineering mathematics. --- Control engineering. --- Robotics. --- Mechatronics. --- Automation. --- Robotics and Automation. --- Control, Robotics, Mechatronics. --- Appl.Mathematics/Computational Methods of Engineering. --- Artificial Intelligence (incl. Robotics). --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Industrial engineering --- Mechanization --- Assembly-line methods --- Automatic control --- Automatic machinery --- CAD/CAM systems --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Engineering --- Engineering analysis --- Mathematical 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 --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Mathematics --- Mathematical and Computational Engineering. --- Artificial Intelligence.

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Multiobjective Evolutionary Algorithms and Applications provides comprehensive treatment on the design of multiobjective evolutionary algorithms and their applications in domains covering areas such as control and scheduling. Emphasizing both the theoretical developments and the practical implementation of multiobjective evolutionary algorithms, a profound mathematical knowledge is not required. Written for a wide readership, engineers, researchers, senior undergraduates and graduate students interested in the field of evolutionary algorithms and multiobjective optimization with some basic knowledge of evolutionary computation will find this book a useful addition to their book case.

Computer algorithms. --- Evolutionary computation. --- Mathematical optimization. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Computation, Evolutionary --- Neural networks (Computer science) --- Algorithms --- Information theory. --- Computer software. --- Information systems. --- Theory of Computation. --- Algorithm Analysis and Problem Complexity. --- Computer Appl. in Administrative Data Processing. --- Information Systems Applications (incl. Internet). --- Communication theory --- Communication --- Cybernetics --- Software, Computer --- Computer systems --- Computers. --- Algorithms. --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Algorism --- Algebra --- Arithmetic --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Machine theory --- Calculators --- Cyberspace --- Foundations

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Evolutionary algorithms are sophisticated search methods that have been found to be very efficient and effective in solving complex real-world multi-objective problems where conventional optimization tools fail to work well. Despite the tremendous amount of work done in the development of these algorithms in the past decade, many researchers assume that the optimization problems are deterministic and uncertainties are rarely examined. The primary motivation of this book is to provide a comprehensive introduction on the design and application of evolutionary algorithms for multi-objective optimization in the presence of uncertainties. In this book, we hope to expose the readers to a range of optimization issues and concepts, and to encourage a greater degree of appreciation of evolutionary computation techniques and the exploration of new ideas that can better handle uncertainties. "Evolutionary Multi-Objective Optimization in Uncertain Environments: Issues and Algorithms" is intended for a wide readership and will be a valuable reference for engineers, researchers, senior undergraduates and graduate students who are interested in the areas of evolutionary multi-objective optimization and uncertainties.

Mathematical optimization --- Evolutionary computation --- Uncertainty --- Operations Research --- Civil Engineering --- Applied Mathematics --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Mathematical models --- Mathematical optimization. --- Evolutionary programming (Computer science) --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Computer science. --- Artificial intelligence. --- Computer-aided engineering. --- Applied mathematics. --- Engineering mathematics. --- Computer Science. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Appl.Mathematics/Computational Methods of Engineering. --- Artificial Intelligence (incl. Robotics). --- Engineering --- Engineering analysis --- Mathematical analysis --- CAE --- 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 --- Informatics --- Science --- Mathematics --- Data processing --- Computer programming --- Maxima and minima --- Operations research --- System analysis --- Computer aided design. --- Mathematical and Computational Engineering. --- Artificial Intelligence. --- CAD (Computer-aided design) --- Computer-assisted design --- Computer-aided engineering --- Design