In this paper Scientific Modelling of Teaching by Master to Adolescent students for Personality Improvement, Relationship and Vividness (TMASPRV) algorithm applied to the engineering domain problem in order to increase the power productivity by Improving the Electrical Energy Quality. Each Adolescent students fitness value is computed by utilizing (substituting) the characteristics (decision variables) in the standard fitness. An estimated model between the individuals and their fitness values created based on Chebyshev functional-link network. By Least Squares Estimation, the proposed model optimized. Analogous to selecting preliminary populace, selecting the preeminent solution in the new population to the role of the Prime Teacher, rendering to all the other Teacher and Student's -location is significant. This choice will regulate the convergence rapidity as well as the accurateness of the procedure. Therefore, the procedure's principal phase is to discover an operative solution to play a protagonist of the preeminent solution to upsurge the convergence and accurateness of the exploration iterations. In the segment of Self-experiences (local search) every Human being has assertiveness in the direction of each factor in the on-going life. Mathematical Design of Teaching by Master to Adolescent students for Personality Improvement, Relationship and Vividness (TMASPRV) algorithm validated in benchmark test functions. In engineering domain Electrical problem projected TMASPRV algorithm performed well in reducing the electrical real power loss.