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GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 5 months ago
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
Janusz Wojtusiak, Ryszard S. Michalski
WEA
2010
Springer
241views Algorithms» more  WEA 2010»
15 years 8 months ago
A Branch-and-Price Algorithm for Multi-mode Resource Leveling
Resource leveling is a variant of resource-constrained project scheduling in which a non-regular objective function, the resource availability cost, is to be minimized. We present ...
Eamonn T. Coughlan, Marco E. Lübbecke, Jens S...
ANOR
2008
171views more  ANOR 2008»
15 years 2 months ago
A branch and bound method for the job-shop problem with sequence-dependent setup times
This paper deals with the job-shop scheduling problem with sequencedependent setup times. We propose a new method to solve the makespan minimization problem to optimality. The met...
Christian Artigues, Dominique Feillet
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 5 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
GECCO
2007
Springer
481views Optimization» more  GECCO 2007»
15 years 8 months ago
A hybrid PSO/ACO algorithm for classification
In a previous work we have proposed a hybrid Particle Swarm Optimisation/Ant Colony Optimisation (PSO/ACO) algorithm for the discovery of classification rules, in the context of d...
Nicholas Holden, Alex Alves Freitas