3165 search results - page 22 / 633 » Introduction to genetic algorithms |
82
Voted
ICNC
2009
Springer
15 years 4 months ago
2009
Springer
—With the aim to minimize boarding time and devise procedures for boarding strategies, this paper develop the synthesis of Improved Genetic Algorithms and simulation. This paper ...
64
Voted
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
This paper introduces subchromosome representations to the linkage learning genetic algorithm (LLGA). The subchromosome representation is utilized for effectively lowering the num...
74
Voted
GECCO
1999
Springer
15 years 1 months ago
1999
Springer
X-ray spectroscopic analysis is a powerful tool for plasma diagnostics. We use genetic algorithms to automatically analyze experimental X-ray line spectra and discuss a particular...
79
Voted
NICSO
2010
Springer
15 years 1 months ago
2010
Springer
t] Based on the mutation matrix formalism and past statistics of genetic algorithm, a Markov Chain transition probability matrix is introduced to provide a guided search for comple...
ICNC
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Parallel genetic algorithms are usually implemented on parallel machines or distributed systems. This paper describes how finegrained parallel genetic algorithms can be ...