Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Multi-objective optimization of cellular fenestration by an evolutionary algorithm
This paper describes the multi-objective optimized design of fenestration that is based on the façade of the building being divided into a number of small regularly spaced cells. The minimization of energy use and capital cost by a multi-objective genetic algorithm was investigated for: two alternative problem encodings (bit-string and integer); the application of constraint functions to control the aspect ratio of the windows; and the seeding of the search with feasible design solutions. It is concluded that the optimization approach is able to find near locally Pareto optimal solutions that have innovative architectural forms. Confidence in the optimality of the solutions was gained through repeated trail optimizations and a local search and sensitivity analysis. It was also concluded that seeding the optimization with feasible solutions was important in obtaining the optimum solutions when the window aspect ratio was constrained.
Multi-objective optimization of cellular fenestration by an evolutionary algorithm
This paper describes the multi-objective optimized design of fenestration that is based on the façade of the building being divided into a number of small regularly spaced cells. The minimization of energy use and capital cost by a multi-objective genetic algorithm was investigated for: two alternative problem encodings (bit-string and integer); the application of constraint functions to control the aspect ratio of the windows; and the seeding of the search with feasible design solutions. It is concluded that the optimization approach is able to find near locally Pareto optimal solutions that have innovative architectural forms. Confidence in the optimality of the solutions was gained through repeated trail optimizations and a local search and sensitivity analysis. It was also concluded that seeding the optimization with feasible solutions was important in obtaining the optimum solutions when the window aspect ratio was constrained.
Multi-objective optimization of cellular fenestration by an evolutionary algorithm
Wright, Jonathan A. (Autor:in) / Brownlee, Alexander (Autor:in) / Mourshed, Monjur M. (Autor:in) / Wang, Mengchao (Autor:in)
Journal of Building Performance Simulation ; 7 ; 33-51
02.01.2014
19 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Intersection Signal Timing Optimization: A Multi-Objective Evolutionary Algorithm
| DOAJ | 2022
Engineering Index Backfile | 1896