Performance evaluation of genetic algorithms and evolutionary programming in optimization and machine learning
Citations
46 citations
12 citations
Cites background from "Performance evaluation of genetic a..."
...implicit parallelism, [315] in machine learning, [422, 135] in training neural networks, [488] in TSP, [222, 287]...
[...]
..., [1845] Current Opinion in Biotechnology, [2123] Current Science, [1820] Cybernetics and Systems, [135, 243, 287, 726, 2441, 1961] Daziran Tansuo, [543] DDT, [1847] Decis Support Syst....
[...]
..., [135]...
[...]
5 citations
2 citations
Cites methods from "Performance evaluation of genetic a..."
...Previous techniques, such as horizontal and vertical projections have weakness in extracting some features of Arabic characters [1, 2]....
[...]
References
52,797 citations
33,034 citations
"Performance evaluation of genetic a..." refers background or methods in this paper
...1986), in addition to a lot of literature investigating theoretical analysis and modeling (Holland 1986; Goldberg 1989)....
[...]
...His student, David Goldberg (Goldberg 1989; Booker, Goldberg, and Holland 1989) was one of the major contributors to the publicity of the GA among AI community....
[...]
...One of the machine learning paradigms that uses GA is the classi®er systems (Goldberg 1989)....
[...]
...Many applications in global optimization has been solved with GA and EP (Fogel 1991; Rumelhart et al. 1986), in addition to a lot of literature investigating theoretical analysis and modeling (Holland 1986; Goldberg 1989)....
[...]
32,573 citations
"Performance evaluation of genetic a..." refers background in this paper
...The GA in its known form, was introduced by Holland (1975)....
[...]
15,313 citations
10,771 citations