TY - BOOK ID - 4807501 TI - Knowledge Incorporation in Evolutionary Computation PY - 2005 SN - 9783540445111 3642061745 9783642061745 3540445110 3540229027 PB - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, DB - UniCat KW - Engineering. KW - Appl.Mathematics/Computational Methods of Engineering. KW - Artificial Intelligence (incl. Robotics). KW - Applications of Mathematics. KW - Artificial intelligence. KW - Mathematics. KW - Engineering mathematics. KW - Ingénierie KW - Intelligence artificielle KW - Mathématiques KW - Mathématiques de l'ingénieur KW - Engineering & Applied Sciences KW - Civil & Environmental Engineering KW - Applied Mathematics KW - Civil Engineering KW - Evolutionary programming (Computer science) KW - Evolutionary computation. KW - Computation, Evolutionary KW - Applied mathematics. KW - Engineering KW - Engineering analysis KW - Mathematical analysis 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 - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Math KW - Science KW - Mathematics KW - Neural networks (Computer science) KW - Computer programming KW - Mathematical and Computational Engineering. KW - Artificial Intelligence. UR - https://www.unicat.be/uniCat?func=search&query=sysid:4807501 AB - This carefully edited book puts together the state-of-the-art and recent advances in knowledge incorporation in evolutionary computation within a unified framework. The book provides a comprehensive self-contained view of knowledge incorporation in evolutionary computation including a concise introduction to evolutionary algorithms as well as knowledge representation methods. "Knowledge Incorporation in Evolutionary Computation" is a valuable reference for researchers, students and professionals from engineering and computer science, in particular in the areas of artificial intelligence, soft computing, natural computing, and evolutionary computation. ER -