Evaluating Performance of Simulated Annealing And Genetic Algorithm Based Approach in Building Envelope Optimisation

Abstract

Among many optimisation techniques, Simulated Annealing (SA) is an approach closely related to Genetic Algorithms (GA). While SA and GA have been compared, their performance in Building Envelope Optimisation has not been explored. The objective of this research is to evaluate performance of SA and GA approach in building envelope optimisation. The outcome of study indicates that although GA and SA have comparable performance they have distinct advantages. While GA outperforms SA in initial convergence, it may take longer to reach the optimal. Results also indicate that, near already known good solutions, the SA approach performs better in comparison. There is potential of developing a hybrid optimisation technique that utilizes the strengths of both the GA and SA approaches.