Proposed Algorithm (P.E.A) for Optimization
Ravindra Kannojiya, Mohnish Dulwani, Kartikey Sharma · 2018
This study presents comparison of methods to compute optimum value of input parameter to optimize given objective function. In this study objective functions are a basic thermal system and 5 benchmark function. Comparison is made between T.L.B.O. Algorithm (Teaching learning based optimization algorithm, a nature inspired evolutionary algorithm) and P.E.A. (Planetary Extinction Algorithm, a proposed Algorithm). Results are concluded by testing both Algorithms on thermal system and on 5 benchmark function. In this study thermal system is a basic steam power plant system consisting of boiler, turbine, condenser, pump (neglected because it does not impart much work). Study suggests PEA performed better than TLBO in 5 out of 6 test performed.