A Field Guide to Genetic Programming

نویسندگان

  • Riccardo Poli
  • William B. Langdon
  • Nicholas Freitag McPhee
چکیده

ion operator, 48active code, 102adaptive market hypothesis, 123ADATE, 48ADFcrossover, 49recursion prevention, 49troubleshooting, 134agentevolutionary, 122image processing, 122social simulation, 123aggregate fitness function, 75–76analogue circuit evolution, 119ant colony optimisation (ACO), 74PEEL, 74ant programming, generalised (GAP), 74ant-TAG, 74anytime fitness, 85applicationsarbitrage, 123architecture, 76art, 127bin packing, 127bioinformatics, 125–126biology, 125bomb disposal, 124cellular automata, 119chemical engineering, 124chemistry, 126circuits, 119classification, 121control, 119curve fitting, 113data compression, 128data mining, 85, 125data modelling, 113economics, 123entertainment, 127exchange rate, 123film industry, 128finance, 123gambling, 123games, 120, 127guidelines, 111heuristics, 126human competitive, 117hyper-heuristics, 126image processing, 121, 122industry, 124infrared spectra, 125jet engine optimisation, 125mechanics, 120medical, 122, 125meta-heuristics, 126music, 128neural networks, 121nuclear reactor control, 124numerical control, 124OCR, 122patents, 119population size, 116process control, 124QSAR, 78quantum computing, 118robotics, 118, 119SAT, 127side effects, 113signal processing, 121stock market, 123symbolic regression, 113teaching aids, 124TSP, 127video, 129watermarking, 122arbitrage, 123architectureevolution, 50program, 50

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تاریخ انتشار 2008