Performance-based Generative Architecture Design: A Review on Design Problem Formulation and Software Utilization

2019 ◽  
Vol 22 (3) ◽  
pp. 55-76
Author(s):  
Shenghuan Zhao ◽  
Enrico de Angelis
Keyword(s):  
Design Problem ◽  
Problem Formulation ◽  
Architecture Design

Design Optimization of Hydraulic Networks Using Mixed Integer Linear Programming

1982 ◽  
Vol 104 (4) ◽  
pp. 837-843
Author(s):  
T. F. Conry ◽  
J. A. Werhane
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Design Problem ◽  
Mixed Integer Linear Programming ◽  
Computer Aided Design ◽  
Water System ◽  
Cooling Water ◽  
Problem Formulation ◽  
Mixed Integer ◽  
Service Water

The optimum design problem is formulated for the selection of pipe sizes in a hydraulic network such as a power plant service water or bearing cooling water system. The flows in each branch of the network are taken to be known, which makes the design problem linear in the variables. The optimization problem is formulated as a mixed integer linear programming problem. A design example is given. The role of this problem formulation and solution method in an interactive computer aided design (CAD) system is discussed.

Multi-Objective Evolutionary Algorithms’ Performance in a Support Role

2015 ◽  
Author(s):  
Matthew J. Woodruff ◽  
Timothy W. Simpson ◽  
Patrick M. Reed
Keyword(s):  
Evolutionary Algorithms ◽  
Conceptual Design ◽  
Parameter Space ◽  
Design Problem ◽  
Problem Formulation ◽  
Diagnostic Assessment ◽  
Multi Objective ◽  
Assessment Study

This paper presents a diagnostic assessment study, evaluating five leading multi-objective evolutionary algorithms (MOEAs) on their effectiveness, efficiency, reliability, and controllability on four different formulations of the same benchmark conceptual design problem, using the same underlying model. This assessment entails a broad sampling of the parameter space of each MOEA, for each problem formulation, requiring millions of optimization runs and trillions of model evaluations. The results of this assessment show the strengths and limitations of these MOEAs, establishing the Borg MOEA as a leading algorithm.

scholarly journals DESAIN LEMARI PENYIMPANAN BUKU UNTUK MENUNJANG PROGRAM LITERASI SMAN 6 SAMARINDA

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Roni H ◽  
Septiana Rizky Wulandari
Keyword(s):  
Literature Review ◽  
Design Problem ◽  
Problem Formulation ◽  
Design Methods ◽  
Business World ◽  
Analysis And Design ◽  
Design Specifications ◽  
Environmental Program ◽  
Review Analysis ◽  
Design Style

ABSTRACTThe design and development of this product is a part of the abstract changes that exist in the business world. In a classroom measuring 9m x 8m that will be used to place a book storage cabinet for this activity does not take many places. Book storage cabinets like these require to place books according to the size of the shelves that are already designed using A4 paper rules. Designing a Book Storage Cabinet product using the Adiwiyata concept which means an environmental program by taking colors that have a natural impression, and cool and using a modern minimalist design style to fit the classroom that is not too spacious. With the design methods that have been done include: Design stages, Preliminery design, Problem formulation, Literature review, Analysis and design specifications, Design specifications, Design develoment, Final designs and prototypes. So that a book storage cabinet design has been produced that has a modern minimalist design style.Keywords: Cupboard, Storage, Books

Robust MDSDO for Co-Design of Stochastic Dynamic Systems

2019 ◽  
Vol 142 (1) ◽  
Author(s):  
Saeed Azad ◽  
Michael J. Alexander-Ramos
Keyword(s):  
Dynamic System ◽  
Design Optimization ◽  
System Design ◽  
Design Problem ◽  
Integrated Design ◽  
Problem Formulation ◽  
Robust Design Optimization ◽  
Design Problems ◽  
Embodiment Design ◽  
And Control

Abstract Optimization of dynamic engineering systems generally requires problem formulations that account for the coupling between embodiment design and control system design simultaneously. Such formulations are commonly known as combined optimal design and control (co-design) problems, and their application to deterministic systems is well established in the literature through a variety of methods. However, an issue that has not been addressed in the co-design literature is the impact of the inherent uncertainties within a dynamic system on its integrated design solution. Accounting for these uncertainties transforms the standard, deterministic co-design problem into a stochastic one, thus requiring appropriate stochastic optimization approaches for its solution. This paper serves as the starting point for research on stochastic co-design problems by proposing and solving a novel problem formulation based on robust design optimization (RDO) principles. Specifically, a co-design method known as multidisciplinary dynamic system design optimization (MDSDO) is used as the basis for an RDO problem formulation and implementation. The robust objective and inequality constraints are computed per usual as functions of their first-order-approximated means and variances, whereas analysis-based equality constraints are evaluated deterministically at the means of the random decision variables. The proposed stochastic co-design problem formulation is then implemented for two case studies, with the results indicating the importance of the robust approach on the integrated design solutions and performance measures.

Problem Discovery With Many-Objective Visual Analytics

2016 ◽  
Author(s):  
Matthew Woodruff ◽  
Timothy W. Simpson
Keyword(s):  
Visual Analytics ◽  
Design Problem ◽  
Problem Formulation ◽  
Design Problems ◽  
Design Decisions ◽  
Detailed Design ◽  
Default State ◽  
State Of Affairs

Problem discovery is messy. It involves many mistakes, which may be regarded as a failure to address a design problem correctly. Mistakes, however, are inevitable, and misunderstanding the problems we are working on is the natural, default state of affairs. Only through engaging in a series of mistakes can we learn important things about our design problems. This study provides a case study in Many-Objective Visual Analytics (MOVA), as applied to the problem of problem discovery. It demonstrates the process of continually correcting and improving a problem formulation while visualizing its optimization results. This process produces a new, clearer understanding of the problem and puts the designer in a position to proceed with more-detailed design decisions.

Systematic network synthesis and design: Problem formulation, superstructure generation, data management and solution

2015 ◽  
Vol 72 ◽  
pp. 68-86 ◽  
Author(s):  
Alberto Quaglia ◽  
Carina L. Gargalo ◽  
Siwanat Chairakwongsa ◽  
Gürkan Sin ◽  
Rafiqul Gani
Keyword(s):  
Data Management ◽  
Design Problem ◽  
Problem Formulation ◽  
Network Synthesis

The Four-Box Method: Problem Formulation and Analogy Evaluation in Biologically Inspired Design

2014 ◽  
Vol 136 (11) ◽  
Author(s):  
Michael Helms ◽  
Ashok K. Goel
Keyword(s):  
Design Problem ◽  
Problem Formulation ◽  
Biologically Inspired ◽  
Design Problems ◽  
In Situ Observations ◽  
Box Method ◽  
Biologically Inspired Design ◽  
Search Design

Searching for biological analogies appropriate for design problems is a core process of biologically inspired design (BID). Through in situ observations of student BIDs, we discovered that student designers struggle with two issues that bookend the problem of search: design problem formulation, which generates the set of conditions to be used for search; and evaluation of the appropriateness of the retrieved analogies, which depends both on problem formulation and the retrieved analogy. We describe a method for problem formulation and analogy evaluation in BID that we call the Four-Box method. We show that the Four-Box method can be rapidly and accurately used by designers for both problem formulation and analogy evaluation, and that designers find the method valuable for the intended tasks.

Towards a Formal Representation Model of Problem Formulation in Design

2011 ◽  
Author(s):  
Mahmoud Dinar ◽  
Jami Shah ◽  
Glen Hunt ◽  
Ellen Campana ◽  
Pat Langley
Keyword(s):  
Design Problem ◽  
Preliminary Analysis ◽  
Empirical Investigation ◽  
Problem Formulation ◽  
Creative Design ◽  
Formal Representation ◽  
Design Competition ◽  
Model Aircraft ◽  
Expert Designer ◽  
Current Stage

Studies on design, show that problem formulation plays a major role in creative design. We plan to construct an interactive computer system that aids problem formulation. In the current stage, to improve our understanding of problem formulation, we have conducted exploratory protocol studies of novice designers and collected data from an expert designer in the form of a depositional interview. A formal representation of the design problem is needed to improve our empirical investigation. We propose a preliminary framework for such a model and we call it a problem map. It provides a basis for comparing how different designers perceive a problem. Our study is based on the design of a model aircraft for the AIAA student design competition. This preliminary analysis shows the evolution of the problem and the solution spaces in the elaboration of the problem maps through time. The problem maps also show a richer representation of attended attributes and relations for the expert and more attributes left in vacuum for the novices.

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