Candida Ferreira – Gene Expression Programming (2nd Ed.)

This ebook describes the fundamental concepts of gene expression programming (GEP) and quite a few modifications to this highly effective new algorithm. It supplies all of the implementation particulars of GEP in order that anybody with elementary programming expertise will be capable to implement it themselves. The ebook features a self-contained introduction to this new thrilling area of computational intelligence. This second version has been revised and prolonged with 5 new chapters.

From the Back Cover

Cândida Ferreira completely describes the fundamental concepts of gene expression programming (GEP) and quite a few modifications to this highly effective new algorithm. This monograph supplies all of the implementation particulars of GEP in order that anybody with elementary programming expertise will be capable to implement it themselves. The ebook additionally features a self-contained introduction to this new thrilling area of computational intelligence, together with a number of new algorithms for determination tree induction, information mining, classifier programs, operate discovering, polynomial induction, occasions sequence prediction, evolution of linking features, robotically outlined features, parameter optimization, logic synthesis, combinatorial optimization, and full neural community induction. The ebook additionally discusses some essential and controversial evolutionary subjects that may be refreshing to each evolutionary pc scientists and biologists.

This second version has been considerably revised and prolonged with 5 new chapters, together with a brand new chapter describing two new algorithms for inducing determination bushes with nominal and numeric/combined attributes.

Cândida Ferreira completely describes the fundamental concepts of gene

expression programming (GEP) and quite a few modifications to this

highly effective new algorithm. This monograph supplies all of the implementation

particulars of GEP in order that anybody with elementary programming

expertise will be capable to implement it themselves. The ebook additionally features a

self-contained introduction to this new thrilling area of computational

intelligence, together with a number of new algorithms for determination tree

induction, information mining, classifier programs, operate discovering, polynomial

induction, occasions sequence prediction, evolution of linking features,

robotically outlined features, parameter optimization, logic

synthesis, combinatorial optimization, and full neural community

induction. The ebook additionally discusses some essential and controversial

evolutionary subjects that may be refreshing to each evolutionary

pc scientists and biologists. This second version has been

considerably revised and prolonged with 5 new chapters, together with

a brand new chapter describing two new algorithms for inducing determination

bushes with nominal and numeric/combined attributes.