Jun 1, 2016 · This paper provides the technical information required to make the optimization of constrained building design problem as reliable as possible by linking EnergyPlus simulation program to an efficient Genetic Algorithm (GA).

optimized designs for first to third floor and three alternatives for fourth floor in southern zones. For northern façade, three optimized designs were presented. The results illustrated how an optimization methodology and genetic algorithm can be app

Oct 7, 2015 · In this study, we combine two techniques (offline simulation and divide and conquer) to effectively improve the run time in these architectural design optimization problems, utilizing architecture-specific domain knowledge.

We use genetic algorithms to reach an optimized choice for building refurbishment. There are three parts in this article. In the first one, we review the existing optimization methods and we explain the reasons why we choose genetic algorithms. In the second part, we describe the method we develope.

Optimal selection of the design parameters is carried out using genetic algorithms by coupling the building performance simulation program EnergyPlus with optimization environment. The simulations were conducted for seven optimization cases.

Mar 1, 2010 · The GAINN approach presented in this study first uses a simulation-based Artificial Neural Network (ANN) to characterize building behaviour, and then combines this ANN with a multiobjective Genetic Algorithm (NSGA-II) for optimization.

Aug 4, 2003 · This paper reviews the basics of GAs, emphasizing multi-objective optimization problems. It then presents several applications, including determining the size and placement of windows and the composition of building walls, the generation of building form, and the design and operation of HVAC systems.

In this article, we present the development of a simple optimization method based on experiments methods and genetic algorithms. It allows decision makers to establish refurbishment scenarios or to compare different possibilities for a new building.

Jun 6, 2011 · This article investigates the applicability of a multidisciplinary design optimization (MDO) methodology in building design. MDO methods divide a single system into a group of smaller subsystems to effectively manage interactions between them.

Apr 10, 2025 · This study evaluates the effectiveness of Genetic Algorithms (GAs) for early design optimization, focusing on their ability to find near-optimal solutions within limited timeframes.