AAIM
2005
Springer
14 years 5 months ago
2005
Springer
Abstract. The utilization of pseudo-random proportional rule to balance between the exploitation and exploration of the search process was shown in Ant Colony System (ACS) algorith...
SMA
2005
ACM
14 years 5 months ago
2005
ACM
Geometric constraints are at the heart of parametric and feature-based CAD systems. Changing values of geometric constraint parameters is one of the most common operations in such...
CEC
2005
IEEE
14 years 5 months ago
2005
IEEE
Abstract- Choosing the best parameter setting is a wellknown important and challenging task in Evolutionary Algorithms (EAs). As one of the earliest parameter tuning techniques, th...
ECRTS
2006
IEEE
14 years 6 months ago
2006
IEEE
System robustness is a major concern in the design of efficient and reliable state-of-the-art heterogenous embedded real-time systems. Due to complex component interactions, reso...
WABI
2007
Springer
14 years 6 months ago
2007
Springer
Abstract. Parameter estimation of large bio-pathway models is an important and difficult problem. To reduce the prohibitive computational cost, one approach is to decompose a large...
TAMC
2007
Springer
14 years 6 months ago
2007
Springer
Abstract. Kernelizations are an important tool in designing fixed parameter algorithms for parameterized decision problems. We introduce an analogous notion for counting problems,...
HYBRID
2007
Springer
14 years 6 months ago
2007
Springer
The lack of precise numerical information for the values of biological parameters severely limits the development and analysis of models of genetic regulatory networks. To deal wit...
GECCO
2007
Springer
14 years 6 months ago
2007
Springer
This research screens the tuning parameters of a combinatorial optimization heuristic. Specifically, it presents a Design of Experiments (DOE) approach that uses a Fractional Fac...
ICRA
2007
IEEE
14 years 6 months ago
2007
IEEE
Abstract— Particle filters have been applied with great success to various state estimation problems in robotics. However, particle filters often require extensive parameter tw...
CEC
2007
IEEE
14 years 6 months ago
2007
IEEE
— Calibrating an evolutionary algorithm (EA) means finding the right values of algorithm parameters for a given problem. This issue is highly relevant, because it has a high imp...