In this paper Jaya Algorithm has been implemented for indirect adaptive control for surge tank problem. Jaya algorithm is algorithm specific and parameter-less and shows better performance with a non-linear model. The Jaya adaptive control has been scrutinized for the non-linear model Surge tank and the non-linearities components like alpha and beta have been determined further the fitness value of the selected population has also been formulated and compared with Genetic adaptive control. The controller is formulated as a single objective, optimization problem containing different control variables for determining the optimal solution to satisfy different constraints of Jaya algorithm. An effort has also been made to compare Jaya algorithm and Genetic algorithm for Surge tank problem to determine the effectiveness, improved performance and randomness of the system. Simulations have been carried out for Jaya Algorithm and Genetic Algorithm for Surge tank problem. The result indicate that indirect adaptive control is effective in tracking the best value of the system and the performance of the Jaya algorithm is faster than the Genetic algorithm.

Topics
Evolutionary computation, Optimization problems
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