|
Description:
|
This record of study summarizes the work accomplished during the internship at the Energy Systems Laboratory of the Texas Engineering Experiment Station . The internship project was to develop a tool to optimize the building parameters so that the overall building energy cost is minimized . A metaheuristic : genetic algorithm was identified as the solution algorithm and was implemented in the problem under study . Through two case studies , the impacts of the three genetic algorithm parameters , namely population size , crossover and mutation rates , on the algorithm's overall performance are also studied through statistical tests . Through these statistical tests , the optimum combination of above the mentioned parameters is also identified and applied . Finally , a performance analysis based on the case studies show that the tool achieved satisfactory results . |