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GECCO
2007
Springer
258views Optimization» more  GECCO 2007»
16 years 24 days ago
A genetic algorithm for resident physician scheduling problem
This paper formally presents the resident physician scheduling problem, which is one of the most important scheduling problems in hospital. The resident physician scheduling probl...
Chi-Way Wang, Lei-Ming Sun, Ming-Hui Jin, Chung-Ju...
GECCO
2011
Springer
264views Optimization» more  GECCO 2011»
14 years 10 months ago
Critical factors in the performance of novelty search
Novelty search is a recently proposed method for evolutionary computation designed to avoid the problem of deception, in which the fitness function guides the search process away...
Steijn Kistemaker, Shimon Whiteson
LION
2009
Springer
136views Optimization» more  LION 2009»
16 years 1 months ago
Fitness Landscape Analysis for the Resource Constrained Project Scheduling Problem
The fitness landscape of the resource constrained project scheduling problem is investigated by examining the search space position type distribution and the correlation between t...
Jens Czogalla, Andreas Fink
EVOW
2008
Springer
15 years 8 months ago
Enhancing Parameter Estimation of Biochemical Networks by Exponentially Scaled Search Steps
A fundamental problem of modelling in Systems Biology is to precisely characterise quantitative parameters, which are hard to measure experimentally. For this reason, it is common ...
Hendrik Rohn, Bashar Ibrahim, Thorsten Lenser, Tho...
CEC
2009
IEEE
16 years 1 months ago
Mixed Mutation Strategy Embedded Differential Evolution
Differential evolution (DE) is a powerful yet simple evolutionary algorithm for optimizing real valued optimization problems. Traditional investigations with differential evolution...
Millie Pant, Musrrat Ali, Ajith Abraham