The transmitting power of monochrome infrared LED device is affected by factors that should be considered as those changing unstably, including transmission distance, the working current of the light source, operating frequency and so on. This thesis established a model through calibration experiment and curve fitting to measure influences and employed Biogeography-Based Optimization (BBO) to optimize the multiple variables system and obtain optimal variable conditions directly. Biogeography-Based Optimization (BBO) is a global optimal algorithm, which does not have many mathematic condition requirements for all optimal problems to be solved and does not need the intrinsic properties of the problem in the search process. Biogeography-Based Optimization (BBO) can deal with objective functions and restrictions in all forms including linear ones, nonlinear ones, continuous ones and discrete ones and can provide much flexibility for various special problems to construct heuristic optimization in independent fields because of its evolution characteristic. Therefore, Biogeography-Based Optimization (BBO) is suitable to deal with the influences to monochrome infrared LED devices caused by the change of various external factors under different physical mechanisms. This method can solve the bottleneck problem of paper moisture measurement technology and increase measurement precision.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.