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CORR
2008
Springer
132views Education» more  CORR 2008»
14 years 11 months ago
Building Better Nurse Scheduling Algorithms
The aim of this research is twofold: Firstly, to model and solve a complex nurse scheduling problem with an integer programming formulation and evolutionary algorithms. Secondly, ...
Uwe Aickelin, Paul White
109
Voted
GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
15 years 4 months ago
Reducing the Cost of the Hybrid Evolutionary Algorithm with Image Local Response in Electronic Imaging
Abstract. The paper focuses on the efficiency of the hybrid evolutionary algorithm (HEA) for solving the global optimization problem arising in electronic imaging. The particular v...
Igor V. Maslov
CEC
2009
IEEE
15 years 5 months ago
Comparing parameter tuning methods for evolutionary algorithms
Abstract— Tuning the parameters of an evolutionary algorithm (EA) to a given problem at hand is essential for good algorithm performance. Optimizing parameter values is, however,...
Selmar K. Smit, A. E. Eiben
GECCO
2008
Springer
156views Optimization» more  GECCO 2008»
14 years 12 months ago
Computing minimum cuts by randomized search heuristics
We study the minimum s-t-cut problem in graphs with costs on the edges in the context of evolutionary algorithms. Minimum cut problems belong to the class of basic network optimiz...
Frank Neumann, Joachim Reichel, Martin Skutella
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
15 years 4 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo