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» On the practical genetic algorithms
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GECCO
2003
Springer
133views Optimization» more  GECCO 2003»
15 years 2 months ago
Optimisation of Reaction Mechanisms for Aviation Fuels Using a Multi-objective Genetic Algorithm
In this study a multi-objective genetic algorithm approach is developed for determining new reaction rate parameters for the combustion of kerosene/air mixtures. The multi-objectiv...
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, N...
ISCIS
2003
Springer
15 years 2 months ago
Gene Level Concurrency in Genetic Algorithms
This study describes an alternative concurrency approach in genetic algorithms. Inspiring from implicit parallelism in a physical chromosome, a vertical concurrency is introduced. ...
Onur Tolga Sehitoglu, Göktürk Ü&cce...
IPPS
1998
IEEE
15 years 2 months ago
Synthesis of a Systolic Array Genetic Algorithm
The paper presents the design of a hardware genetic algorithm which uses a pipeline of systolic arrays. Demostrated is the design methodology, where a simple genetic algorithm exp...
Graham M. Megson, I. M. Bland
GECCO
2006
Springer
447views Optimization» more  GECCO 2006»
15 years 1 months ago
Candlestick stock analysis with genetic algorithms
Candlestick analysis, a form of stock market technical analysis, is well suited for use with a genetic search algorithm. This paper explores an implementation of marrying these tw...
Peter Belford
ANLP
1997
111views more  ANLP 1997»
14 years 11 months ago
An Improvement in the Selection Process of Machine Translation Using Inductive Learning with Genetic Algorithms
We proposed a method of machine translation using inductive learning with genetic algorithms, and confirmed the effectiveness of applying genetic algorithms. However, the system b...
Hiroshi Echizen-ya, Kenji Araki, Yoshikazu Miyanag...