Paper Conference

Proceedings of ASim Conference 2016: 3rd Asia conference of IBPSA-China, Japan, Korea

     

PERFORMANCE EVALUATION CRITERIA OF ALGORITHMS IN BUILDING ENERGY EFFICIENT DESIGN OPTIMIZATION

Binghui Si, Zhichao Tian, Xing Jin, Xing Shi, Wenqiang Chen

Abstract: The mandatory requirement of energy efficiency for green and sustainable buildings has led to the emerging development of the building energy efficient design optimization technique, among which optimization algorithms is vital for the overall effectiveness and efficiency of the technique. This study evaluates algorithms used for building energy efficient design optimization. Four performance criteria, namely, stability, validity, speed, and coverage, are proposed. A standard building and a design optimization problem are developed. Hooke-Jeeves algorithm, Multi-Objective Genetic Algorithm II (MOGA-II), and Multi-Objective Particle Swarm Optimization (MOPSO) algorithm are evaluated by using the proposed performance criteria and standard design problem. Results indicate that there is no algorithm performs best in all four criteria. The Hooke-Jeeves algorithm is trapped in the local optimum with poor validity and coverage. The MOPSO algorithm generally performs better than the other two algorithms except for the speed. The MOGA-II performs slightly worse than the MOPSO algorithm in term of validity and coverage but is still acceptable.
Keywords: Performance evaluation, Optimization algorithm, Energy efficient design, Building optimization
Paper:
asim2016_256