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» Unsupervised Problem Decomposition Using Genetic Programming
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STACS
2005
Springer
15 years 10 months ago
Sampling Sub-problems of Heterogeneous Max-cut Problems and Approximation Algorithms
Abstract Abstract. Recent work in the analysis of randomized approximation algorithms for NP-hard optimization problems has involved approximating the solution to a problem by the ...
Petros Drineas, Ravi Kannan, Michael W. Mahoney
COR
2007
176views more  COR 2007»
15 years 4 months ago
Scheduling and routing of automated guided vehicles: A hybrid approach
We propose a hybrid method designed to solve a problem of dispatching and conflict free routing of automated guided vehicles (AGVs) in a flexible manufacturing system (FMS). Thi...
Ayoub Insa Corréa, André Langevin, L...
GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
15 years 8 months ago
Overcoming hierarchical difficulty by hill-climbing the building block structure
The Building Block Hypothesis suggests that Genetic Algorithms (GAs) are well-suited for hierarchical problems, where efficient solving requires proper problem decomposition and a...
David Iclanzan, Dan Dumitrescu
128
Voted
CRV
2006
IEEE
137views Robotics» more  CRV 2006»
15 years 10 months ago
Evolving a Vision-Based Line-Following Robot Controller
This paper presents an original framework for evolving a vision-based mobile robot controller using genetic programming. This framework is built on the Open BEAGLE framework for t...
Jean-François Dupuis, Marc Parizeau
SAC
2003
ACM
15 years 9 months ago
Can a Parser be Generated from Examples?
One of the open problems in the area of domain-specific languages is how to make domain-specific language development easier for domain experts not versed in a programming languag...
Marjan Mernik, Goran Gerlic, Viljem Zumer, Barrett...