Get Free Shipping on orders over $79
Linkage in Evolutionary Computation - Yingping Chen

Linkage in Evolutionary Computation

By: Yingping Chen, MengHiot Lim

eText | 10 September 2008 | Edition Number 1

At a Glance

eText


$239.00

or 4 interest-free payments of $59.75 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.
In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on ad hoc tweaking of parameters to control the search by balancing the level of exploitation and exploration are grossly inadequate. As shown in the work reported here, such parameters tweaking based approaches have their limits; they can be easily "fooled" by cases of triviality or peculiarity of the class of problems that the algorithms are designed to handle. Furthermore, these approaches are usually blind to the interactions between the decision variables, thereby disrupting the partial solutions that are being built up along the way.
on
Desktop
Tablet
Mobile

More in Graphical & Digital Media Applications

Typography 34 - Type Directors Club

eBOOK

$25.99

Beryl - Joanna Quinn

eBOOK

eBook

$31.49

On Designing Well - Pree Kolari

eBOOK

Artificial Intelligence and Photography - Stuart Oring

eBOOK

How a Game Lives - Jacob Geller

eBOOK

$12.99

Disney's Animated Classics : A Comprehensive Guide - Stephen Rötzsch Thomas

eBOOK