Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
26
click to vote
GECCO
2004
Springer
favorite
Email
discuss
report
109
views
Optimization
»
more
GECCO 2004
»
Development of a Genetic Algorithm for Optimization of Nanoalloys
14 years 5 months ago
Download
www.cs.york.ac.uk
A genetic algorithm has been developed in order to find the global minimum of platinum-palladium nanoalloy clusters. The effect of biasing the initial population and predating specific clusters has been investigated.
Lesley D. Lloyd, Roy L. Johnston, Said Salhi
Real-time Traffic
GECCO 2004
|
Genetic Algorithm
|
Global Minimum
|
Platinum-palladium Nanoalloy Clusters
|
claim paper
Post Info
More Details (n/a)
Added
01 Jul 2010
Updated
01 Jul 2010
Type
Conference
Year
2004
Where
GECCO
Authors
Lesley D. Lloyd, Roy L. Johnston, Said Salhi
Comments
(0)
Researcher Info
Optimization Study Group
Computer Vision