Single- and Multi-objective Design Optimization of Heat Pipes and Heat Sinks Using Jaya Algorithm and Its Variants

Abstract

This chapter presents the application of Jaya algorithm and its variants for the single objective as well as multi-objective design optimization of heat pipes and heat sinks. Design of heat pipes and heat sinks involves a number of geometric and physical parameters with high complexity and the design processes are mostly based on trial and error. General design approaches become tedious and time consuming and these processes do not guarantee the achievement of an optimal design. Therefore, meta-heuristic based computational methods are preferred. This chapter presents the results of application of Jaya algorithm and its variants such as self-adaptive Jaya algorithm, SAMP-Jaya algorithm and SAMPE-Jaya algorithm to the design optimization problems of heat pipes and heat sinks. The results are found better than those obtained by other optimization techniques such as TLBO, Grenade Explosion Method (GEM), Niched Pareto Genetic Algorithm (NPGA), Generalized External optimization (GEO) and a hybrid multi-objective evolutionary algorithm.