Logo

Evolutionary Algorithms by Eisuke Kita

Small book cover: Evolutionary Algorithms

Evolutionary Algorithms
by

Publisher: InTech
ISBN-13: 9789533071718
Number of pages: 584

Description:
Evolutionary algorithms are successively applied to wide optimization problems in the engineering, marketing, operations research, and social science, such as include scheduling, genetics, material selection, structural design and so on. Apart from mathematical optimization problems, evolutionary algorithms have also been used as an experimental framework within biological evolution and natural selection in the field of artificial life.

Home page url

Download or read it online for free here:
Download link
(30MB, PDF)

Similar books

Book cover: Advances in Genetic Programming, Vol. 3Advances in Genetic Programming, Vol. 3
by - The MIT Press
Genetic programming is a form of evolutionary computation that evolves programs and program-like executable structures for developing reliable applications. This volume highlights the recent technical advances in this increasingly popular field.
(8802 views)
Book cover: Genetic Programming: New Approaches and Successful ApplicationsGenetic Programming: New Approaches and Successful Applications
by - InTech
Genetic programming (GP) is a branch of Evolutionary Computing that aims the automatic discovery of programs to solve a given problem. Since its appearance, in the earliest nineties, GP has become one of the most promising paradigms ...
(9110 views)
Book cover: Advances in Evolutionary AlgorithmsAdvances in Evolutionary Algorithms
by - InTech
With the recent trends towards massive data sets and significant computational power, evolutionary computation is becoming much more relevant to practice. The book presents recent improvements, ideas and concepts in a part of a huge EA field.
(14831 views)
Book cover: Evolved to WinEvolved to Win
by - Lulu.com
Moshe Sipper and his group have produced a plethora of award-winning results, in numerous games of diverse natures, evidencing the efficiency of evolutionary algorithms in general at producing top-notch, human-competitive game strategies.
(8516 views)