A Multi-Objective Generic Algorithm Approach for Optimization of Building Energy Performance

Abstract

This paper presents the results of a pilot study conducted to optimize building energy performance using a Multi-objective Generic Algorithm (MOGA), an evolutionary adoptive approach. In this study, a Building Information Modeling (BIM) model was built to provide design data, such as building form and space layout, and site and building orientation to IES , a building energy simulation software. Energy performance of design options was evaluated. The optimal settings of the design parameters were then obtained using a MOGA approach. This study indicates that the MOGA approach (1) enables continuous investigation of design parameters over their entire spectrum, (2) accounts for that fact that design parameters dynamically, not statically, impact energy performance, and (3) optimizes multiple design criteria simultaneous. This study concluded that MOGA is an appropriate approach that can better ensure a global optimal solution for design of energy efficient buildings.