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...
This study describes an alternative concurrency approach in genetic algorithms. Inspiring from implicit parallelism in a physical chromosome, a vertical concurrency is introduced. ...
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...
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...
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...