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ANOR
2002
99views more  ANOR 2002»
13 years 7 months ago
A General Approach to the Physician Rostering Problem
Abstract. This paper presents a hybridization of a Constraint Programming (CP) model and search techniques with Local Search (LS) and some ideas borrowed from Genetic Algorithms (G...
Louis-Martin Rousseau, Gilles Pesant, Michel Gendr...
STTT
2010
132views more  STTT 2010»
13 years 6 months ago
Evaluation of Kermeta for solving graph-based problems
Kermeta is a meta-language for specifying the structure and behavior of graphs of interconnected objects called models. In this paper, we show that Kermeta is relatively suitable f...
Naouel Moha, Sagar Sen, Cyril Faucher, Olivier Bar...
CEC
2010
IEEE
13 years 8 months ago
Local Optima Networks of the Quadratic Assignment Problem
Using a recently proposed model for combinatorial landscapes, Local Optima Networks (LON), we conduct a thorough analysis of two types of instances of the Quadratic Assignment Prob...
Fabio Daolio, Sébastien Vérel, Gabri...
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 1 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
CEC
2008
IEEE
14 years 2 months ago
Solving one-billion-bit Noisy OneMax problem using Estimation Distribution Algorithm with Arithmetic Coding
— This paper presents an algorithm which combines Estimation Distribution Algorithm with a chromosome compression scheme to solve large scale Noisy OneMax problem. The search spa...
Worasait Suwannik, Prabhas Chongstitvatana