Using Genetic Algorithms to Encourage Engineering Design Creativity

1999 ◽  
pp. 69-84 ◽  
Author(s):  
William A. Crossley
Keyword(s):  
Genetic Algorithms ◽  
Engineering Design ◽  
Design Creativity

Genetic algorithms: concepts and applications [in engineering design]

1996 ◽  
Vol 43 (5) ◽  
pp. 519-534 ◽  
Author(s):  
K.F. Man ◽  
K.S. Tang ◽  
S. Kwong
Keyword(s):  
Genetic Algorithms ◽  
Engineering Design

Can Induced Gratitude Improve Creative Performance on Repurposing Tasks?

2021 ◽  
pp. 1-18
Author(s):  
Natalie M. Sisson ◽  
Emily Impett ◽  
L.H. Shu
Keyword(s):  
Engineering Design ◽  
Environmental Sustainability ◽  
Positive Emotions ◽  
Engineering Students ◽  
Small Body ◽  
Design Creativity ◽  
Creativity Research ◽  
Full Study ◽  
Societal Problems ◽  
First Time

Abstract Urgent societal problems, including climate change, require innovation and can benefit from interdisciplinary solutions. A small body of research has demonstrated the potential of positive emotions (e.g., gratitude, awe) to promote creativity and prosocial behavior, which may help address these problems. This study integrates, for the first time, psychology research on a positive and prosocial emotion (i.e., gratitude) with engineering-design creativity research. In a pre-registered study design, engineering students and working engineers (pilot N = 49; full study N = 329) completed gratitude, positive-emotion control, or neutral-control inductions. Design creativity was assessed through rater scores of responses to an Alternate Uses Task (AUT) and a Wind-Turbine-Blade Repurposing Task (WRT). No significant differences among AUT scores emerged across conditions in either sample. While only the pilot-study manipulation of gratitude was successful, WRT results warrant further studies on the effect of gratitude on engineering-design creativity. The reported work may also inform other strategies to incorporate prosocial emotion to help engineers arrive at more original and effective concepts to tackle environmental sustainability, and in the future, other problems facing society.

A rank-based constraint handling technique for engineering design optimization problems solved by genetic algorithms

2017 ◽  
Vol 187 ◽  
pp. 77-87 ◽  
Author(s):  
Rafael de Paula Garcia ◽  
Beatriz Souza Leite Pires de Lima ◽  
Afonso Celso de Castro Lemonge ◽  
Breno Pinheiro Jacob
Keyword(s):  
Genetic Algorithms ◽  
Design Optimization ◽  
Engineering Design ◽  
Optimization Problems ◽  
Constraint Handling ◽  
Engineering Design Optimization ◽  
Handling Technique

Can Gratitude Promote More Creative Engineering Design?

2021 ◽  
Author(s):  
Natalie M. Sisson ◽  
Emily A. Impett ◽  
L. H. Shu
Keyword(s):  
Engineering Design ◽  
Environmental Sustainability ◽  
Positive Emotions ◽  
Engineering Students ◽  
Small Body ◽  
Design Creativity ◽  
Creativity Research ◽  
Full Study ◽  
Societal Problems ◽  
First Time

Abstract Urgent societal problems, including climate change, require innovation, and can benefit from interdisciplinary solutions. A small body of research has demonstrated the potential of positive emotions (e.g., gratitude, awe) to promote creativity and prosocial behavior, which may help address these problems. This study integrates, for the first time, psychology research on a positive and prosocial emotion (i.e., gratitude) with engineering-design creativity research. In a pre-registered study design, engineering students and working engineers (pilot N = 49; full study N = 329) completed gratitude, positive-emotion control, or neutral-control inductions. Design creativity was assessed through rater scores of responses to an Alternate Uses Task (AUT) and a Wind-Turbine-Blade Repurposing Task (WRT). No significant differences among AUT scores emerged across conditions in either sample. While only the pilot-study manipulation of gratitude was successful, WRT results warrant further studies on the effect of gratitude on engineering-design creativity. The reported work may also inform other strategies to incorporate prosocial emotion to help engineers arrive at more original and effective concepts to tackle environmental sustainability, and in the future, other problems facing society.

Genetic Algorithms and Engineering Design

1996 ◽  
Author(s):  
Mitsuo Gen ◽  
Runwei Cheng
Keyword(s):  
Genetic Algorithms ◽  
Engineering Design

scholarly journals THE CREATIVITY MATRIX: AN EXTENSION TO AXIOMATIC DESIGN

2011 ◽  
Author(s):  
Brad Crowell ◽  
Peter Gregson
Keyword(s):  
Cognitive Psychology ◽  
Engineering Design ◽  
Design Process ◽  
Axiomatic Design ◽  
Synthesis Methods ◽  
Creative Design ◽  
Design Decisions ◽  
Good Design ◽  
Design Creativity ◽  
Analysis And Synthesis

Axiomatic Design helps a designer to make good design decisions. However, this addresses only one part of design. Prior to selecting a proposed design, the designer must synthesize options for further consideration. Within engineering design, creativity and expertise have been left to the competency of the designer and called the “art of engineering design”. To achieve a truly creative design process that addresses both analysis and synthesis, methods based on theories from Cognitive Psychology must be included. The resulting Creative Axiomatic Design process addresses both synthesis and analysis, enhancing creativity and expertise to inspire innovation and alternative perspectives on the design problem.

scholarly journals DESIGN PROBLEM PERCEPTION IN ENGINEERING DESIGN TEAMS

2018 ◽  
Author(s):  
Amirali Ommi ◽  
Yong Zeng ◽  
Catharine C. Marsden
Keyword(s):  
Engineering Design ◽  
Design Problem ◽  
Design Teams ◽  
Test Bed ◽  
Descriptive Model ◽  
Design Problems ◽  
Team Mental Models ◽  
Problem Perception ◽  
Design Creativity ◽  
Proposed Model

 Abstract – Engineering design is a decision making process that needs a good perception of the design problem to be solved. Design problems are usually solved in a team. Teams need the existence of a good design problem perception to create design solutions. This study provides an approach for elaborating a descriptive model to describe how the perception process works within a design team. This study is going to propose an approach for integrating a theoretical model of design creativity with team mental models, so they can be used for elaborating the descriptive model of perception in design teams. The NSERC Chair in Aerospace Design Engineering (NCADE) at Concordia University holds a capstone project which will be considered to be used as a test bed for validating proposed model through experimental analysis. Proposed experiments and further research are introduced at the end of paper.

How Should We Measure Creativity in Design Studies? A Comparison of Social Science and Engineering Approaches

2020 ◽  
Author(s):  
Scarlett R. Miller ◽  
Samuel T. Hunter ◽  
Elizabeth Starkey ◽  
Sharath Ramachandran ◽  
Faez Ahmed ◽  
...  
Keyword(s):  
Social Science ◽  
Engineering Design ◽  
Design Research ◽  
Negative Relationship ◽  
Design Quality ◽  
Science And Engineering ◽  
Design Creativity ◽  
Significant Negative Relationship ◽  
The Social ◽  
Design Ideas

Abstract Design researchers have long sought to understand the mechanisms that support creative idea development. However, one of the key challenges faced by the design community is how to effectively measure the nebulous construct of creativity. The social science and engineering communities have adopted two vastly different approaches to solving this problem, both of which have been deployed throughout engineering design research. The goal of this paper was to compare and contrast these two approaches using design ratings of nearly 1000 engineering design ideas paired with a qualitative study with expert raters. The results of this study identify that while these two methods provide similar ratings of idea quality, there was a statistically significant negative relationship between these methods for ratings of idea novelty. Qualitative analysis of recordings from expert raters’ think aloud concept mapping points to potential sources of disagreement. In addition, the results show that while quasi-expert and expert raters provided similar ratings of design novelty, there was not significant agreement between these groups for ratings of design quality. The results of this study provide guidance for the deployment of idea ratings in engineering design research and evidence for the development and potential modification of engineering design creativity metrics.

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