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78
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GECCO
2003
Springer
133views Optimization» more  GECCO 2003»
15 years 5 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...
102
Voted
ISCIS
2003
Springer
15 years 5 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...
101
Voted
IPPS
1998
IEEE
15 years 4 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
135
Voted
GECCO
2006
Springer
447views Optimization» more  GECCO 2006»
15 years 4 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»
15 years 1 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...