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WSC
2007
13 years 9 months ago
Optimal scheduling of probabilistic repetitive projects using completed unit and genetic algorithms
In this paper we introduce the completed unit algorithm (CU-AL), a probabilistic scheduling methodology for repetitive projects. The algorithm has two main advantages, simplicity ...
Chachrist Srisuwanrat, Photios G. Ioannou
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
13 years 9 months ago
Parsimonious regularization using genetic algorithms applied to the analysis of analytical ultracentrifugation experiments
Frequently in the physical sciences experimental data are analyzed to determine model parameters using techniques known as parameter estimation. Eliminating the effects of noise ...
Emre H. Brookes, Borries Demeler
CEC
2010
IEEE
13 years 8 months ago
Fitness landscape analysis for evolutionary non-photorealistic rendering
The best evolutionary approach can be a difficult problem. In this work we have investigated two evolutionary representations to evolve non-photorealistic renderings: a variable-le...
Jeff Riley, Victor Ciesielski
MABS
2005
Springer
14 years 25 days ago
Automatic Tuning of Agent-Based Models Using Genetic Algorithms
When developping multi-agent systems (MAS) or models in the context of agent-based simulation (ABS), the tuning of the model constitutes a crucial step of the design process. Inde...
Benoît Calvez, Guillaume Hutzler
KBSE
2003
IEEE
14 years 19 days ago
Automated Software Testing Using a Metaheuristic Technique Based on Tabu Search
The use of techniques for automating the generation of software test cases is very important as it can reduce the time and cost of this process. The latest methods for automatic g...
Eugenia Díaz, Javier Tuya, Raquel Blanco