Logo

Advances in Evolutionary Algorithms

Small book cover: Advances in Evolutionary Algorithms

Advances in Evolutionary Algorithms
by

Publisher: InTech
ISBN-13: 9789537619114
Number of pages: 284

Description:
With the recent trends towards massive data sets and significant computational power, combined with evolutionary algorithmic advances evolutionary computation is becoming much more relevant to practice. Aim of the book is to present recent improvements, innovative ideas and concepts in a part of a huge EA field.

Home page url

Download or read it online for free here:
Download link
(40MB, PDF)

Similar books

Book cover: Global Optimization Algorithms: Theory and ApplicationGlobal Optimization Algorithms: Theory and Application
by
The book on global optimization algorithms - methods to find optimal solutions for given problems. It focuses on evolutionary algorithms, genetic algorithms, genetic programming, learning classifier systems, evolution strategy, etc.
(8005 views)
Book cover: Evolutionary AlgorithmsEvolutionary Algorithms
by - InTech
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.
(5572 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 ...
(4279 views)
Book cover: Genetic Algorithms and Evolutionary ComputationGenetic Algorithms and Evolutionary Computation
by - The TalkOrigins Archive
Creationists argue that evolutionary processes cannot create new information, or that evolution has no practical benefits. This article disproves those claims by describing the explosive growth and widespread applications of genetic algorithms.
(4228 views)