Performance Assessment of Algorithms for Building Energy Optimization Problems with Different Properties

Binghui Si, Zhichao Tian, Wenqiang Chen, Xing Jin, Xin Zhou and Xing Shi
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Binghui Si: School of Architecture, Southeast University, Nanjing 210096, China
Zhichao Tian: School of Architecture, Southeast University, Nanjing 210096, China
Wenqiang Chen: Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong, China
Xing Jin: School of Architecture, Southeast University, Nanjing 210096, China
Xin Zhou: School of Architecture, Southeast University, Nanjing 210096, China
Xing Shi: School of Architecture, Southeast University, Nanjing 210096, China

Sustainability, 2018, vol. 11, issue 1, 1-22

Abstract: Assessing the performance of algorithms in solving building energy optimization (BEO) problems with different properties is essential for selecting appropriate algorithms to achieve the best design solution. This study begins with a classification of the properties of BEO problems from three perspectives, namely, design variables, objective functions, and constraints. An analytical approach and a numerical approach are proposed to determine the properties of BEO problems. Six BEO test problems with different properties, namely, continuous vs. discrete, convex vs. non-convex, linear vs. non-linear, uni-modal vs. multimodal, and single-dimensional vs. multi-dimensional, are composed to evaluate the performance of algorithms. The selected optimization algorithms for performance assessment include the discrete Armijo gradient, Particle Swarm Optimization (PSO), Hooke-Jeeves, and hybrid PSO and Hooke-Jeeves. The assessment results indicate that multimodality can cause Hooke-Jeeves and discrete Armijo gradient algorithms to fall into local optima traps. The convex, non-convex, linear and non-linear properties of uni-modal BEO problems have little impact on the performance behavior of the algorithms. The discrete Armijo gradient and Hooke-Jeeves are not recommended for solving discrete and multi-dimensional BEO problems.

Keywords: building energy optimization; performance of optimization algorithms; building optimization problem; problem property (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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