TY - BOOK ID - 8061343 TI - Introduction to Evolutionary Algorithms AU - Yu, Xinjie. AU - Gen, Mitsuo. PY - 2010 SN - 184996128X 9786612981920 1849961298 1282981927 PB - London : Springer London : Imprint: Springer, DB - UniCat KW - Evolutionary computation. KW - Evolutionary programming (Computer science). KW - Genetic algorithms. KW - Evolutionary programming (Computer science) KW - Genetic algorithms KW - Evolutionary computation KW - Engineering & Applied Sciences KW - Computer Science KW - Computation, Evolutionary KW - Artificial intelligence. KW - Data structures (Computer scienc. KW - Engineering. KW - Computer simulation. KW - Artificial Intelligence (incl. Robotics). KW - Data Structures. KW - Complexity. KW - Control, Robotics, Mechatronics. KW - Simulation and Modeling. KW - Computer modeling KW - Computer models KW - Modeling, Computer KW - Models, Computer KW - Simulation, Computer KW - Electromechanical analogies KW - Mathematical models KW - Simulation methods KW - Model-integrated computing KW - Construction KW - Industrial arts KW - Technology KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Fifth generation computers KW - Neural computers KW - Neural networks (Computer science) KW - Artificial Intelligence. KW - Data structures (Computer science). KW - Computational complexity. KW - Control engineering. KW - Robotics. KW - Mechatronics. KW - Mechanical engineering KW - Microelectronics KW - Microelectromechanical systems KW - Automation KW - Control engineering KW - Control equipment KW - Control theory KW - Engineering instruments KW - Programmable controllers KW - Complexity, Computational KW - Information structures (Computer science) KW - Structures, Data (Computer science) KW - Structures, Information (Computer science) KW - File organization (Computer science) KW - Abstract data types (Computer science) UR - https://www.unicat.be/uniCat?func=search&query=sysid:8061343 AB - Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms. It covers such hot topics as: • genetic algorithms, • differential evolution, • swarm intelligence, and • artificial immune systems. The reader is introduced to a range of applications, as Introduction to Evolutionary Algorithms demonstrates how to model real world problems, how to encode and decode individuals, and how to design effective search operators according to the chromosome structures with examples of constraint optimization, multiobjective optimization, combinatorial optimization, and supervised/unsupervised learning. This emphasis on practical applications will benefit all students, whether they choose to continue their academic career or to enter a particular industry. Introduction to Evolutionary Algorithms is intended as a textbook or self-study material for both advanced undergraduates and graduate students. Additional features such as recommended further reading and ideas for research projects combine to form an accessible and interesting pedagogical approach to this widely used discipline. ER -