1830 search results - page 124 / 366 » Optimizing Sorting with Genetic Algorithms |
GECCO
2007
Springer
15 years 1 months ago
2007
Springer
The Negative Slope Coefficient (nsc) is an empirical measure of problem hardness based on the analysis of offspring-fitness vs. parent-fitness scatterplots. The nsc has been teste...
GECCO
2008
Springer
14 years 11 months ago
2008
Springer
This paper empirically investigates parallel competent genetic algorithms (cGAs) [4]. cGAs, such as BOA [21], LINCGA [15], D5 -GA [28], can solve GA-difficult problems by automati...
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. When direct measurement of model parameters is not possible, these need to be inferred indirectly from calibration data. To solve this inverse problem, an algorithm that ...
ENGL
2007
14 years 10 months ago
2007
Abstract—This paper presents a systematic approach for the design of temperature controller using genetic algorithms (GAs) for thermal power plant subsystems and investigates the...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Genetic Algorithms have worked fairly well for the VLSI cell placement problem, albeit with significant run times. Two parallel models for GA are presented for VLSI cell placemen...