A Unified Multidisciplinary Optimum Design Method Using Genetic Algorithms

Author(s):  
Hiroshi Yamakawa

Abstract Multidisciplinary optimum designs have been of strong interest lately in many fields. A unified multidisciplinary optimum design method by utilizing the genetic algorithms is presented in this study. The design process is modeled there by a distributed hierarchical system to simulate ordinary design processes. Each level is optimized by genetic algorithms somewhat independently but some information is transmitted to the upper or the lower level. Engineering analysis can also be involved in a certain level. The proposed method is then applied to simple examples of preliminary designs of cars and numerical results show the effectiveness of the method.

Author(s):  
Hiroshi Yamakawa ◽  
Masao Arakawa ◽  
Nobuyuki Katsuyama

Abstract A new concept on the heredity and evolution of designs was proposed and an optimum design method based on the concept was developed newly by one of the authors. Several kinds of needs for designs may exist and users of some products are not satisfied with the functions of the products but also with their sensuous beauties or impressions of shapes and materials. To consider such sensous quality of the products was called “Kansei designs” in Japan and have become of interest and important lately (Nagamachi, 1989). In this study we introduce the same concept on heredity and evolution of designs as in the previous reports shown in Fig.1 (Yamakawa, 1994) and present a general design method to consider the Kansei design into ordinary, design process by making use of both SD (Semantic Differential) and the Genetic Algorithms. In order to support designer’s impressions, we also consider to take for other features Kansei estimation, which is similar to the original feature and easier to take “Kansei”, into account and developed an interface system which can show the transition of feature during GA process. Front view designs of a car are taken as simple numerical examples and the effectiveness of the proposed method is examined.


2013 ◽  
Author(s):  
Morteza Saeidi Javash ◽  
Mir Mohammad Ettefagh ◽  
Yousof Ebneddin Hamidi

2021 ◽  
Vol 21 (4) ◽  
pp. 271-289
Author(s):  
Renato Godoi da Cruz ◽  
Cláudia Maria Arcipreste ◽  
Rafael Lemieszek Pinheiro ◽  
Rovadávia Aline de Jesus Ribas

Abstract This paper describes the construction of an information flow that combines parametric modelling and genetic algorithms to optimise both the total weight of a structured steel roof and the shape of its surface to maximise the generation potential of photovoltaic energy. Through the systematisation of a design process using genetic algorithms integrated with generative design as an architectural design method, architects can work with problem parameterisation, going one step further than the mere formal proposition of solutions.As a result, we present a process in which there is a dialogical relationship between the architect and project in a continuous flow of information in the initial steps of the design process, guided by predefined optimisation objectives. Therefore, it is relevant to note that the designer accepts a reduced creative control over the final shape in favor of control over the core principles that constitute the optimisation algorithms. An approach that involved the designer in a process of post computational processing evaluations is also highlighted, giving him better support to discuss and analyze the design options.


2004 ◽  
Vol 10 (4) ◽  
pp. 301-307 ◽  
Author(s):  
Hamit Saruhan ◽  
Keith E. Rouch ◽  
Carlo A. Roso

This article focuses on the use of genetic algorithms in developing an efficient optimum design method for tilting pad bearings. The approach optimizes based on minimum film thickness, power loss, maximum film temperature, and a global objective. Results for a five tilting-pad preloaded bearing are presented to provide a comparison with more traditional optimum design methods such as the gradient-based global criterion method, and also to provide insight into the potential of genetic algorithms in the design of rotor bearings. Genetic algorithms are efficient search techniques based on the idea of natural selection and genetics. These robust methods have gained recognition as general problem solving techniques in many applications.


2012 ◽  
Vol 134 (11) ◽  
Author(s):  
Vicente Chulvi ◽  
Águeda Sonseca ◽  
Elena Mulet ◽  
Amaresh Chakrabarti

This paper presents an experimental study that was conducted to compare the results obtained from using different design methods (brainstorming (BR), functional analysis (FA), and SCAMPER) in design processes. The objectives of this work are twofold. The first was to determine whether there are any differences in the length of time devoted to the different types of activities that are carried out in the design process, depending on the method that is employed; in other words, whether the design methods that are used make a difference in the profile of time spent across the design activities. The second objective was to analyze whether there is any kind of relationship between the time spent on design process activities and the degree of creativity in the solutions that are obtained. Creativity evaluation has been done by means of the degree of novelty and the level of resolution of the designed solutions using creative product semantic scale (CPSS) questionnaire. The results show that there are significant differences between the amounts of time devoted to activities related to understanding the problem and the typology of the design method, intuitive or logical, that are used. While the amount of time spent on analyzing the problem is very small in intuitive methods, such as brainstorming and SCAMPER (around 8–9% of the time), with logical methods like functional analysis practically half the time is devoted to analyzing the problem. Also, it has been found that the amount of time spent in each design phase has an influence on the results in terms of creativity, but results are not enough strong to define in which measure are they affected. This paper offers new data and results on the distinct benefits to be obtained from applying design methods.


2011 ◽  
Vol 9 (4) ◽  
pp. 421-436 ◽  
Author(s):  
Tsukasa Takenaka ◽  
Aya Okabe

This paper proposes a computational landscape design method, called the Seeds Scattering system (SS system), that was developed by the AnS Studio to carry out the Sony forest project in Japan. This method enables us to manage various environmental conditions in design processes, to design ‘natural’ in urban areas, (i.e., people perceive a forest in an urbanized area as if it is natural although the forest is not genuinely natural). First, this paper discusses the limitations of the conventional method of landscape design. In Section 3 to 4, we describes the SS system together with the design process of the project. In Section 5, we present the system from a different perspective, that is, as a method for satisfying social requirements to gain human appreciation. The designer's role in this system is not to manipulate geometries or compositions of tree groupings but to design the fundamental rules that underlie them. As a result, the designer can create a landscape in an interactive manner, thereby producing one that inherently belongs to its site.


Author(s):  
Camilo POTOCNJAK-OXMAN

Stir was a crowd-voted grants platform aimed at supporting creative youth in the early stages of an entrepreneurial journey. Developed through an in-depth, collaborative design process, between 2015 and 2018 it received close to two hundred projects and distributed over fifty grants to emerging creatives and became one of the most impactful programs aimed at increasing entrepreneurial activity in Canberra, Australia. The following case study will provide an overview of the methodology and process used by the design team in conceiving and developing this platform, highlighting how the community’s interests and competencies were embedded in the project itself. The case provides insights for people leading collaborative design processes, with specific emphasis on some of the characteristics on programs targeting creative youth


2016 ◽  
Vol 11 (1) ◽  
pp. 34
Author(s):  
Maral Babapour Chafi

Designers engage in various activities, dealing with different materials and media to externalise and represent their form ideas. This paper presents a review of design research literature regarding externalisation activities in design process: sketching, building physical models and digital modelling. The aim has been to review research on the roles of media and representations in design processes, and highlight knowledge gaps and questions for future research.


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