Genetic algorithms as an optimalisation tool for HVAC design

Genetic algorithms are introduced as a tool for solving parametric optimisation problems, and their previous use in engineering applications is reviewed. The fundamental genetic operators for reproduction, crossover and mutation are described and current areas of research indicated. Results are presented for an experiment carried out to evaluate the performance of genetic algorithms in optimizing the design of a variable air volume air conditioning system. The mathematical model of the system is described, as is the method of evaluating system performance. It is found that the genetic algorithm can easily be interfaced to an external simulation programme and that the optimum combination of design parameters is found within 3% of the time necessary to perform an exhaustive search.