Multi-objective optimization of the multi-story residential building with passive design strategy in South Korea

2021 ◽  
pp. 108061
Author(s):  
Yujun Jung ◽  
Yeonsook Heo ◽  
Hoseong Lee
Keyword(s):  
South Korea ◽  
Residential Building ◽  
Design Strategy ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Passive Design

Interactive Multiobjective Optimization Design Strategy for Decision Based Design

1999 ◽  
Author(s):  
Ravindra V. Tappeta ◽  
John E. Renaud
Keyword(s):  
Multiobjective Optimization ◽  
Optimization Design ◽  
Optimization Procedure ◽  
Design Strategy ◽  
Test Problems ◽  
Multi Objective Optimization ◽  
Original Algorithm ◽  
Multi Objective ◽  
Local Preference ◽  
Preference Functions

Abstract This research focuses on multi-objective system design and optimization. The primary goal is to develop and test a mathematically rigorous and efficient interactive multi-objective optimization algorithm that takes into account the Decision Maker’s (DM’s) preferences during the design process. An Interactive Multi-Objective Optimization Procedure (IMOOP) developed in [12] has been modified in this research to include the DM’s local preference functions in an Iterative Decision Making Strategy (IDMS). This enhanced multiobjective optimization procedure called the interactive MultiObjective Optimization Design Strategy (iMOODS) provides the DM with a formal means for efficient design exploration around a given Pareto point. The use of local preference functions allows the original algorithm [12] to be modified such that the second order Pareto surface approximation is more accurate in the preferred region of the Pareto surface. The iMOODS has been successfully applied to two test problems. The first problem consists of a set of simple analytical expressions for the objectives and constraints. The second problem is the design and sizing of a high-performance and low-cost ten bar structure that has multiple objectives. The results indicate that the class functions are effective in capturing the local preferences of the DM. The Pareto designs that reflect the DM’s preferences can be efficiently generated within IDMS.

The Analysis of Residential Building Multi-Objective Optimization Model Based on Life Circle

2014 ◽  
Vol 525 ◽  
pp. 495-498 ◽  
Author(s):  
Yan Li ◽  
Jian Ping Jiang ◽  
Jie Du ◽  
Lin Mei Cai
Keyword(s):  
Optimization Model ◽  
Residential Building ◽  
Multi Objective Optimization ◽  
Scheme Design ◽  
Multi Objective ◽  
Model Based ◽  
Accuracy And Stability ◽  
Life Circle

Use the established multi-objective optimization model to optimize the benchmark building scheme. By comparing the analysis of the benchmark buildings efficient optimization, the established multi-objective optimization model in this paper has higher accuracy and stability, and can be used to guide the scheme design of engineering designer.

Multi-objective optimization of energy performance for a detached residential building with a sunspace using the NSGA-II genetic algorithm

Solar Energy ◽  
2021 ◽  
Vol 224 ◽  
pp. 1426-1444
Author(s):  
Ana Vukadinović ◽  
Jasmina Radosavljević ◽  
Amelija Đorđević ◽  
Milan Protić ◽  
Nemanja Petrović
Keyword(s):  
Genetic Algorithm ◽  
Residential Building ◽  
Energy Performance ◽  
Multi Objective Optimization ◽  
Nsga Ii ◽  
Multi Objective
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