A Hybrid Approach Using CGM and DE Algorithm for Estimation of Boundary Heat Flux in a Parallel Plate Channel

Performance analysis and feasibility study of ant colony optimization, particle swarm optimization and cuckoo search algorithms for inverse heat transfer problems

“…where, T s measured (i, j) is the temperature at location (i, j) determined from solution of the direct problem with the exact boundary heat flux (or measured temperature in case of experiments) and r is the standard deviation of the measurement error which is assumed same for all the measurements [25,74,75]. Standard deviation (r) is related to the measured temperature and its value depends on accuracy of the measuring instrument (thermocouple) and other factors.…”

“…Hence, these methods are more robust. Computational time is of course a concern for these methods [16] but with ever growing computational power, parallelization [19], modifications [20][21][22] and development of hybrid methods [23][24][25], these methods can substitute http://dx.doi.org/10.1016/j.ijheatmasstransfer.2015.05.015 0017-9310/Ó 2015 Elsevier Ltd. All rights reserved. the conventional methods.…”