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TEC
2010
132views more  TEC 2010»
13 years 1 months ago
A Hybrid Evolutionary Approach to the Nurse Rostering Problem
Nurse rostering is a difficult search problem with many constraints. In the literature, a number of approaches have been investigated including penalty function methods to tackle t...
Ruibin Bai, Edmund K. Burke, Graham Kendall, Jingp...
CGF
2008
149views more  CGF 2008»
13 years 6 months ago
Image-based Aging Using Evolutionary Computing
Aging has considerable visual effects on the human face and is difficult to simulate using a universally-applicable global model. In this paper, we focus on the hypothesis that th...
Daniel Hubball, Min Chen, Phil W. Grant
CEC
2008
IEEE
14 years 1 months ago
A parallel surrogate-assisted multi-objective evolutionary algorithm for computationally expensive optimization problems
Abstract— This paper presents a new efficient multiobjective evolutionary algorithm for solving computationallyintensive optimization problems. To support a high degree of parall...
Anna Syberfeldt, Henrik Grimm, Amos Ng, Robert Ivo...
ICC
2009
IEEE
127views Communications» more  ICC 2009»
14 years 1 months ago
A Study on Cross-Layer Multi-Constraint Path Computation for IP-Over-Optical Networks
— A powerful path computation element is a must for the next-generation IP-over-Optical networks to support ondemand service provisioning crossing layers. The main purpose of pat...
Xi Yang, Tom Lehman, Kenichi Ogaki, Tomohiro Otani
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
13 years 10 months ago
A general coarse-graining framework for studying simultaneous inter-population constraints induced by evolutionary operations
The use of genotypic populations is necessary for adaptation in Evolutionary Algorithms. We use a technique called form-invariant commutation to study the immediate effect of evol...
Keki M. Burjorjee, Jordan B. Pollack