Creativity With the Help of Evolutionary Design Tool (original) (raw)
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A Genetic Algorithm for use in Creative Design Processes
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This paper deals with natural growth mechanisms applied to architectural design processes. We implement a genetic algorithm as part of a digital tool to be used in the creative design process. This evolutionary process is evaluated by means of environmental parameters, passive solar qualities and the designer's individual requirements. A morphogenetic process is put forward, based on a “metamorphosis strategy”.
Evolutionary Design Systems and Generative Processes
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Design tools that aim not only to analyse and evaluate, but also to generate and explore alternative design proposals are now under development. An evolutionary paradigm is presented as a basis for creating such tools. First, the evolutionary paradigm is shown to be the only successful design system on which this new phase of design tool could be based. Secondly, any characterisation of design as a search problem is argued to be a serious misconception. Instead it is proposed that evolutionary design systems should be seen as generative processes that are able to evaluate their own output. Thirdly, a generic framework for generative evolutionary design systems is presented. Fourth, the generative process is introduced as a key element within this generic framework. The role of the environment within this process is fundamental. Finally, the direction of future research within the evolutionary design paradigm is discussed with possible short and long term goals being presented.
International Journal of Industrial Ergonomics, 2010
In the field of industry design, the affective response characteristic can plays a significant role that could grasp customer’s attention in product. Especially, the design strategy of ‘‘affection-prerequisite’’ shows the importance of the trend of customer-oriented for the industry products. Up to date, in consideration of the rapidly life-cycle on industrial design field, however, how designers can retrieve customer’s affective response promptly and using such information into their design work efficiently are significant, but not discussed yet. Based on this concept, the objective of this research is to present a creative stimulation system for designers. The ‘‘wisdom of crowds’’ was collected via the Web in order to ascertain customers’ affective responses to product shapes. This data was used to create an evolutionary design system platform by using a design alternatives generation mechanism. The study involved integrating an interactive genetic algorithm into the mechanism to generate an interactive creative stimulation system. An affective design of the shape of a mobile phone was used as an example of implementation and also used as a proof of the research concept. Relevance to industry: HIGA and ESC methods proposed in this research provide the usage of the affective evaluation system for acquiring the customers’ affective responses in the conceptual design process of a mobile phone. This design-generation process allows the design stakeholders to realize their customers’ affective responses interactively with sharing floating data among them according to the daily update of customer’s evaluations.
2004
This report covers the development of a generative design system to encourage a symbioticrelationship between the technology employed and the human design team. To emphasisethe importance of the relationship, the technology will be a Playstation2, a technologicalmedium we are all aware of but this alternative use will help us to think of the technologyas technology.It is an attempt to evolve a complex design from a simple starting point, a portion of essential data to be peppered with human emotive response and abstractive ability. Thehope is that this will bridge the gaps, that current technology dominant generative design,outlined in Manuel Delanda's essay, suffers from in the generative design process.The first iterations of the generative design will be developed on the PC and those multipleiterations will be tested by the PS2 users. In the event of a successful iteration thefollowing iterations will gain complexity whilst retaining the structure of their parents. Ontheir failure the PC will try new mutated iterations at the previous level of complexity.The relationship starts to kick in as the user realises that they are trying to generatecomplexity - an organism that has the instinct to shelter and grow, which is later putforward to be the instinctive driver of successful generative architecture. The result of thismodel will hopefully enable the human designer to gain a heightened awareness of theirown design process, which in this context should promote a discussion about the role of smart technologies in the design process
This paper describes the conceptual and implementation shift from a creative research-based evolutionary system to a real-world evolutionary system for professional designers. The initial system, DarwinsGaze, is a Creative Genetic Programing system based on creative cognition theories. It generated artwork that 10,000's of viewers perceived as human-created art, during its successful run at peer-reviewed, solo shows at noted museums and art galleries. In an effort to improve the system for use with real-world designers, and with multi-person creativity in mind, we began working with a noted design firm exploring potential uses of our technology to support multivariant creative design iteration. This second generation system, titled Evolver, provides designers with fast, unique creative options that expand beyond their habitual selections that can be inserted/extracted from the system process at any time for modular use at varying stages of the creative design process. We describe both systems and the design decisions to adapt our research system, whose goal was to incorporate creativity automatically within its algorithms, to our second generation system, which attempts to take elements of human creativity theories and populate them as tools back into the process. We report on our study with the design firm on the adapted system's effectiveness.
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Design Studies, 2012
Design creativity techniques encourage divergent thinking. But how well do the existing generative design techniques support this requirement? How can these general techniques be augmented for supporting design exploration and creativity? This paper investigates these questions through a review of five different generative design techniques used in architectural design that includes cellular automata, genetic algorithms, L-systems, shape grammars, and swarm intelligence. Based on the literature on design cognition and the recent theoretical works on digital design thinking, this paper proposes the need for an integrated generative design framework to enhance design exploration support for human designers. Potential challenges and strategies towards developing such an integrated framework are discussed.
Towards creative design using collaborative interactive genetic algorithms
2009
We present a computational model of creative design based on collaborative interactive genetic algorithms. We test our model on floorplanning. We guide the evolution of floorplans based on subjective and objective criteria. The subjective criteria consists of designers picking the floorplan they like the best from a population of floorplans, and the objective criteria consists of coded architectural guidelines. We support collaboration by allowing individual designers to view each others' designs during the evolutionary process and the sharing of designs via case injection. This methodology supports team design, and reflects the view of creativity that collaboration accounts for much of our intelligence and creativity. We present a description of the model and a comparative study of floorplans created individually versus collaboratively. Our results show that floorplans created collaboratively were considered to be more "revolutionary" and "original" than those created individually.
Integral evolutionary design, integrated to early stage of architectural design process
2008
This paper tackles the exploration of generative digital tools in the field of architectural design. Evolutionary mechanisms are expected to help the designer and to support his creativity. Our purpose is to implement a digital tool based on a genetic algorithm, which uses environmental parameters and human interplay to evolve an architectural form. The analysis of design processes and CAD use lead us to mark a transformation of design process at a cognitive level.
Supporting creative design in a visual evolutionary computing environment
Advances in Engineering Software, 2004
In product design, sketches and images are strong devices for stimulating creativity. This paper presents a novel visual evolutionary computing environment to provide support for creative design. The 2D sketches and 3D images can be generated by combination of evolutionary computing technology and visualization technology in this environment. A tree-based genetic algorithm is illustrated by a reading lamp design example, which uses genetic algorithm with binary mathematical expression tree to form 2D sketches and programming using Visual Cþþ6.0 and ACIS to generate 3D images. It shows that the approach is able to generate some creative solutions and demonstrates the potential of computational approach in creative design. q