Dynamic and interactive re-formulation of multi-objective optimization problems for conceptual architectural design exploration

Abstract

Simulation-Based Multi-Objective Optimization (SBMOO) methods are being increasingly used in conceptual architectural design. They mostly focus on the solving, rather than the re-formulation, of a Multi-Objective Optimization (MOO) problem. However, Optimization Problem Re-Formulation (Re-OPF) is necessary for treating ill-defined conceptual architectural design as an iterative exploration process. The paper proposes an innovative SBMOO method which builds in a dynamic and interactive Re-OPF phase. This Re-OPF phase, as the main novelty of the proposed method, aims at achieving a realistic MOO model (i.e., a parametric geometrysimulation model which includes important objectives, constraints, and design variables). The proposed method is applied to the conceptual design of a top-daylighting system, focusing on divergent concept generation. The integration of software tools Grasshopper and modeFRONTIER is adopted to support this application. The main finding from this application is that the proposed method can help to achieve quantitatively better and qualitatively more diverse Pareto solutions.

Scientific Computing Evaluation of Interactive Product Art Design under the Background of User Experience Evaluation Analysis Model

“…In this way, users can be engaged in the corresponding interaction design and contribute the corresponding design concept to the corresponding value experience. As a kind of qualitative evaluation and analysis, it is mainly about implementing user's experience analysis based on the constructive method [30,31]. In this paper, the effective evaluation based on the corresponding community tolerance method is implemented through the combination of different circles.…”

A Generative Design Exploration Methodology for Integration of Structural, Environmental, and User Agencies in an Early Design Stage

“…Moreover, a limited number of design exploration methodologies allow problem re-structuring. 4,8,22,38 In most cases, iteration happens between the two steps of form generation and evaluation (steps two and three). This shortcoming might be due to the assumption of unnecessary or unrealistic design restrictions or the inconvenience of pausing the automated design exploration procedure.…”

“…Several studies have demonstrated the importance of utilization of an appropriate design exploration methodology as well as decisions made during the conceptual phase of design [1][2][3] in which the designers uncover the design problem and solutions simultaneously [4][5][6] through an iterative process. 7 In the past decade, many computational design exploration methodologies have been developed to assist designers in generating and evaluating diverse solutions and making appropriate decisions.…”

The optimization of louvers shading devices and room orientation under three different sky conditions

“…When the iteration and automation are conducted to gather information about the building's performance, a huge amount of design feedback concerning its performance can be obtained to observe the design beyond the designer's imagination. Besides, multiobjective optimization (MOO) has recently become an approach in the built environment [14,15] to see the genetical trade-off between design objectives. One of the benefits of its use is that it reduces the negative impact on the environment where the building is constructed, for example, by lowering carbon emissions from energy consumption related to cooling and heating loads, comfort sensations that affect people's health [16], and urban heat island phenomena [17].…”