791 search results - page 1 / 159 » Nonstationary Function Optimization using the Structured Gen... |
PPSN
1992
Springer
13 years 8 months ago
1992
Springer
In this paper, we describe the application of a new type of genetic algorithm called the Structured Genetic Algorithm (sGA) for function optimization in nonstationary environments...
ISCC
2006
IEEE
13 years 10 months ago
2006
IEEE
Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
GECCO
2007
Springer
13 years 8 months ago
2007
Springer
This paper presents a novel approach for a free structure analog circuit design using Genetic Algorithms (GA). A major problem in a free structure circuit is its sensitivity calcu...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...