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» On Genetic Algorithms and Lindenmayer Systems
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GECCO
2006
Springer
166views Optimization» more  GECCO 2006»
15 years 5 months ago
Comparing genetic robustness in generational vs. steady state evolutionary algorithms
Previous research has shown that evolutionary systems not only try to develop solutions that satisfy a fitness requirement, but indirectly attempt to develop genetically robust so...
Josh Jones, Terry Soule
IWAN
2000
Springer
15 years 5 months ago
Differentiated Quality of Service in Application Layer Active Networks
A novel approach to quality of service control in an active service network (application layer active network) is described. The approach makes use of a distributed genetic algori...
Chris M. Roadknight, Ian W. Marshall
GECCO
2010
Springer
232views Optimization» more  GECCO 2010»
15 years 3 months ago
Genetic algorithms for automatic classification of moving objects
This paper presents an integrated approach, combining a state-of-the-art commercial object detection system and genetic algorithms (GA)-based learning for automatic object classif...
Omid David-Tabibi, Nathan S. Netanyahu, Yoav Rosen...
GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
15 years 5 months ago
Evolving musical performance profiles using genetic algorithms with structural fitness
This paper presents a system that uses Genetic Algorithm (GA) to evolve hierarchical pulse sets (i.e., hierarchical duration vs. amplitude matrices) for expressive music performan...
Qijun Zhang, Eduardo Reck Miranda
WSC
2007
15 years 4 months ago
Stability analysis of the supply chain by using neural networks and genetic algorithms
Effectively managing a supply chain requires visibility to detect unexpected variations in the dynamics of the supply chain environment at an early stage. This paper proposes a me...
Alfonso Sarmiento, Luis Rabelo, Ramamoorthy Lakkoj...