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
29
click to vote
CPAIOR
2008
Springer
favorite
Email
discuss
report
140
views
Operations Research
»
more
CPAIOR 2008
»
A Hybrid Constraint Programming / Local Search Approach to the Job-Shop Scheduling Problem
13 years 10 months ago
Download
tidel.mie.utoronto.ca
Jean-Paul Watson, J. Christopher Beck
Real-time Traffic
CPAIOR 2008
|
Operations Research
|
claim paper
Related Content
»
JobShop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach
»
A New Hybrid Genetic Algorithm for the Job Shop Scheduling Problem with Setup Times
»
Extending Systematic Local Search for Job Shop Scheduling Problems
»
A hybrid shifting bottlenecktabu search heuristic for the job shop total weighted tardines...
»
Variable Neighbourhood Search for Job Shop Scheduling Problems
»
Closing the Open Shop Contradicting Conventional Wisdom
»
A novel Variable Neighborhood Particle Swarm Optimization for multiobjective Flexible JobS...
»
Combining simplex with nichebased evolutionary computation for jobshop scheduling
»
Proactive Algorithms for Job Shop Scheduling with Probabilistic Durations
more »
Post Info
More Details (n/a)
Added
19 Oct 2010
Updated
19 Oct 2010
Type
Conference
Year
2008
Where
CPAIOR
Authors
Jean-Paul Watson, J. Christopher Beck
Comments
(0)
Researcher Info
Operations Research Study Group
Computer Vision