Effectiveness of particle swarm optimization technique in dealing with noisy data in inverse heat conduction analysis

摘要: Three different variations of Particle Swarm Optimization (PSO) method are used to solve the inverse heat conduction problem, in one, two, and three dimensions. Both steady transient problems studied. Experimental results obtained from thermocouples inside a hot plate jet impingement problem as bench mark.. In this research, PSO is successfully applied it has alleviated some related instability classical optimization approaches. Some researches have shown that can be an efficient way solving terms computational expense. we mainly focused on effect noise domain, ability dealing with such cases. This very crucial, because most experimental engineering data prone intrinsic errors measurements. ideas proposed make solution more robust noisy domain.