Evolutionary Computation for Model and Feature Optimization
This chapter introduces the main principles of evolutionary computation (EC) and presents a methodology for using it to optimize the parameters and the set of features (e.g. genes, brain signals) in a computational model. Evolutionary computation (EC) methods adopt principles from the evolution in Nature (Darwin 1859). EC methods are used in Chaps. 7 and 8 of the book to optimize gene interaction networks as part of a CNGM.
KeywordsGenetic Algorithm Evolutionary Computation Travel Salesman Problem Lifelong Learning Feature Optimization
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