caa a22 4500 467947597 CHVBK 20180323165701.0 cr unu---uuuuu 170328e19881001xx s 000 0 eng 10.1007/BF00113894 doi (NATIONALLICENCE)springer-10.1007/BF00113894 (NATIONALLICENCE)springer-10.1023/A:1022606120092 De Jong Kenneth Computer Science Department, George Mason University, 22030, Fairfax, VA, U.S.A. aut Learning with genetic algorithms: An overview [Elektronische Daten] [Kenneth De Jong] Genetic algorithms represent a class of adaptive search techniques that have been intensively studied in recent years. Much of the interest in genetic algorithms is due to the fact that they provide a set of efficient domain-independent search heuristics which are a significant improvement over traditional "weak methods” without the need for incorporating highly domain-specific knowledge. There is now considerable evidence that genetic algorithms are useful for global function optimization and NP-hard problems. Recently, there has been a good deal of interest in using genetic algorithms for machine learning problems. This paper provides a brief overview of how one might use genetic algorithms as a key element in learning systems. Kluwer Academic Publishers, 1988 Genetic algorithms nationallicence competition-based learning nationallicence learning task programs nationallicence classifier systems nationallicence Machine Learning Kluwer Academic Publishers 3/2-3(1988-10-01), 121-138 0885-6125 3:2-3<121 1988 3 10994 https://doi.org/10.1007/BF00113894 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00113894 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- De Jong Kenneth Computer Science Department, George Mason University, 22030, Fairfax, VA, U.S.A aut NATIONALLICENCE 773 0- Machine Learning Kluwer Academic Publishers 3/2-3(1988-10-01), 121-138 0885-6125 3:2-3<121 1988 3 10994 NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1022606120092 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- de Jong Kenneth Computer Science Department, George Mason University, 22030, Fairfax, VA, U.S.A aut NATIONALLICENCE 773 0- Machine Learning Kluwer Academic Publishers-Plenum Publishers 3/2-3(1988-10-01), 121-138 0885-6125 3:2-3<121 1988 3 10994 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE NATIONALLICENCE NL-springer