Quantitative trait loci based solution of an inverse radiation heat transfer problem

In this paper the concept of quantitative trait loci (QTL) are used with evolutionary optimisation to solve an inverse problem in radiative heat transfer. A QTL is a positron on the genetic map on a chromosome that is associated with a specific trait of the creature. In this implementation a quantitative trait refers to the temperature profile. QTLs are used to combine useful portions of different candidate solutions in the evolutionary technique. This concept is particularly useful in the design of radiant enclosures with low aspect ratio. It is useful in all situations where QTLs can be identified a priori, such as radiative heat transfer. A planned crossover operator has been designed and a representative radiant heat transfer problem has been solved. This multiple fitness evaluation are required for each chromosome. It was found that this method is not only faster, but also much more accurate when compared to the standard method of using a single fitness functions. This paper demonstrates the effectiveness of QTL's in guiding the evolutionary process.