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GENERATIVE DESIGN EXPLORATION FRAMEWORK
BASED ON SUBJECTIVE EVALUATION
Jia Cui and Ming Xi Tang
School of Design, The Hong Kong Polytechnic University, Hong Kong, Hong Kong
Keywords: Generative system, Design exploration, Evolutionary algorithm, Subjective evaluation.
Abstract: Application of evolutionary computation in design, supporting artificial intelligence and design inspiration,
requires a good understanding of design process. However, obtaining a creative design solution with
subjective evaluation is the barrier of traditional evolutionary mechanisms. In this paper, a novel aesthetic
evaluation model connecting subjective and objective space is introduced, and an exploration algorithm
combining human cognition and preference is presented, which can support design exploration to generate
new design solutions more effectivelly and intelligently.
1 INTRODUCTION
In AI in Design community, it is considered that
complex human intelligent activities being reduced
to manageable computing task (Poon and Maher,
1997) became the dominant thinking with the
development of CAD tools (Computer-Aided
Design). Evolutionary computation is concered with
avoiding the evolving of large numbers of
unsatisfactory solutions. In order to do so, a
subjective evaluation method is needed, but it is hard
to define. In this paper, a preliminary attempt on
evolutionary exploration based on subjective
evaluation is presented. Our aim is to build
connections between a logical system and subjective
space of design. A novel aesthetic evaluation model
embedded in generative design exploration
framework is introduced, and an Embroidery Design
System is built to prove the validation of this theory.
2 DESIGN EXPLORATION
For the purpose of creative design, especially in the
art domain, traditional evolutionary method does not
solve these ill-defined issues very well, which have
many uncertainties, imprecise descriptions and
subjective assessment criteria (Antonsson and
Sebastian, 2005). In this section, we introduce a
novel aesthetic evaluation model to build a bridge
between subjective and physical evaluation aspects,
and a heuristic exploration algorithm is presented for
evolutionary computation.
2.1 Aesthetic Evaluation Model
Comparing the traditional evolutionary fitness
functions which are mainly focused on searching for
optimization process or constraining satisfaction
process, exploration is more suitable for design
domain in order to satisfy designers’ potential
requirements guided by the vague assessing criteria.
Therefore, a multi-dimensional evaluation model is
introduced here. There are two kinds of evaluation
dimension: One is subjective dimension to express
different feeling and preferences in a designer’s
mind; another is the physical dimension to evaluate
the concrete design features.
The physical dimensions are linear in Cartesian
Coordinate, which start from origin and their
absolute values are increased with the amount from
their distances to the origin (equation 1). However,
the subjective dimension (equation 2) is quite
different. The value of a subjective dimension is
non-linear without the global extremum, but several
local extremums. In other words, the value of
subjective dimension is unstable which fluctuates
around a relative statistic point. So, there is no
absolute value but many relative values.
There is a multi-to-multi map between the two
kinds of dimension. The subjective dimension is
fluctuated and data-sensitive. Small changes from
physical dimension can bring big alternations in the
303
Cui J. and Xi Tang M..
GENERATIVE DESIGN EXPLORATION FRAMEWORK BASED ON SUBJECTIVE EVALUATION.
DOI: 10.5220/0003669003030306
In Proceedings of the International Conference on Evolutionary Computation Theory and Applications (ECTA-2011), pages 303-306
ISBN: 978-989-8425-83-6
Copyright
c
2011 SCITEPRESS (Science and Technology Publications, Lda.)