Sciweavers

146 search results - page 2 / 30
» Direct Marketing Response Models Using Genetic Algorithms
Sort
View
WSC
2001
13 years 6 months ago
Implementation of response surface methodology using variance reduction techniques in semiconductor manufacturing
Semiconductor manufacturing is generally considered a cyclic industry. As such, individual producers able to react quickly and appropriately to market conditions will have a compe...
Charles D. McAllister, Bertan Altuntas, Matthew Fr...
JCIT
2010
150views more  JCIT 2010»
13 years 3 days ago
Characteristic Description of Coupled Task Sets Based on Design Structure Matrix and Its Optimal Time and Efforts Solution by Ge
The complicated interactions among tasks lead to iterations in product design and development. To maintain the market share, enterprises should effectively manage their product de...
Ting-gui Chen, Chun-hua Ju
IJON
2006
90views more  IJON 2006»
13 years 5 months ago
Reinforcement learning of a simple control task using the spike response model
In this work, we propose a variation of a direct reinforcement learning algorithm, suitable for usage with spiking neurons based on the spike response model (SRM). The SRM is a bi...
Murilo Saraiva de Queiroz, Roberto Coelho de Berr&...
GECCO
2008
Springer
192views Optimization» more  GECCO 2008»
13 years 6 months ago
Non-linear factor model for asset selection using multi objective genetic programming
Investors vary with respect to their expected return and aversion to associated risk, and hence also vary in their performance expectations of the stock market portfolios they hol...
Ghada Hassan
ICIC
2007
Springer
13 years 7 months ago
Parameter Tuning for Buck Converters Using Genetic Algorithms
The buck converter is one of DC/DC converters that are often used as power supplies. This paper presents parameter tuning methods to obtain circuit element values for the buck conv...
Young-Kiu Choi, Byung-Wook Jung