Prediction of Nonlinear System in Optics Using Genetic Programming

Abstract

11It is difficult to predict the dynamics of systems which are nonlinear and whose characteristic is unknown. In order to build a model of the system from input and output 13 data without any knowledge about the system, we try automatically to build prediction model by Genetic Programming (GP). 15GP has been used to discover the function that describes nonlinear system to study the effect of wavelength and temperature on the refractive index of the fiber core. The 17 predicted distribution from the GP based model is compared with the experimental data. The discovered function of the GP model has proved to be an excellent match to 19 the experimental data.

Instructional Leadership Practices of School Administrators: The Case of El Salvador City Division, Philippines

“…Teachers who are observed also admitted that supervision helped in increasing their teaching expertise level. The findings of this study are consistent with the statement by Radi (2007) who claimed that discussion session between school administrator and teacher has to be done to get the feedback of the class observation. Through the discussion, the strengths and weaknesses of the teachers concerning teaching technique, methodology, approach and instructional materials used can be addressed collegially.…”

Dynamic population variation in genetic programming

“…genetic programming (GP), which is an automatic domain-independent method, has addressed such questions with a good measure of success. It has been applied in various branches of engineering and sciences including biomedical science [17,19,21,35,44,47,53], classification tasks [14,27,31,49,50,54,55,57], navigation tasks [1,4,36], image processing and pattern recognition [9,10,22,28,57], neural networks [1,7,36,39] and robotics [23,32,33,40], and in many other various applications and disciplines [8,12,18,20,34,40,41,45,46,51,56], to name but a few. However, one of the main drawbacks of GP has been the often large amount of computational effort required to solve complex problems.…”