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GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
13 years 11 months ago
Combining simplex with niche-based evolutionary computation for job-shop scheduling
We propose a hybrid algorithm (called ALPINE) between Genetic Algorithm and Dantzig's Simplex method to approximate optimal solutions for the Flexible Job-Shop Problem. Local...
Syhlin Kuah, Joc Cing Tay
GECCO
2008
Springer
121views Optimization» more  GECCO 2008»
13 years 8 months ago
Fast rule representation for continuous attributes in genetics-based machine learning
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...
Jaume Bacardit, Natalio Krasnogor
GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
13 years 11 months ago
3D airspace sectoring by evolutionary computation: real-world applications
This paper presents a new method for 3D cutting of geometrical space with application to airspace sectoring. This problem comes from the air traffic management but the proposed me...
Daniel Delahaye, Stephane Puechmorel
CPM
2010
Springer
120views Combinatorics» more  CPM 2010»
14 years 9 days ago
Mod/Resc Parsimony Inference
Abstract. We address in this paper a new computational biology problem that aims at understanding a mechanism that could potentially be used to genetically manipulate natural insec...
Igor Nor, Danny Hermelin, Sylvain Charlat, Jan Eng...
GECCO
1999
Springer
13 years 11 months ago
An Immune System Approach to Scheduling in Changing Environments
This paper describes the application of an arti cial immune system, AIS, model to a scheduling application, in which sudden changes in the scheduling environment require the rap...
Emma Hart, Peter Ross