Natural selection in search and computation

evolutionary computation

An evolutionary algorithm is a general-purpose search procedure based on the mechanisms of natural selection and population genetics. Different variants are: genetic algorithms (cf. Genetic algorithm); evolutionary strategies; evolutionary programming; genetic programming. Such algorithms and ideas have found many applications in, e.g.: scheduling theory; circuit and network design; architectural design; control (cf. Control system); signal processing; selection of most reliable populations (in statistics); optimal treatment (in statistics); production planning; etc.

References

[a1]	N.K. Bansal, S. Gupta, "On the natural selection rule in general linear models" Metrika , 46 (1997) pp. 59–69
[a2]	"Evolutionary algorithms in engineering applications" D. Dasgupta (ed.) Z. Michalewicz (ed.) , Springer (1997)
[a3]	D.E. Goldberg, "Genetic algorithms in search, optimization and machine learning" , Addison-Wesley (1989)
[a4]	J.R. Koza, "Genetic programming: on the programming of computers by means of natural selection and genetics" , MIT (1992)
[a5]	Z. Michalewicz, "Genetic algorithms $+$ data structures $=$ evolution programs" , Springer (1992)
[a6]	L.C. Tang, "A nonparametric approach for selecting the most reliable population" Queueing Systems , 24 (1996) pp. 169–176