Skip to main content

Genetic Algorithm Golden Ratio Design Model for Auto Arts

  • Chapter
  • First Online:
Handbook of Nature-Inspired Optimization Algorithms: The State of the Art

Abstract

Golden ratio denoted by the Greek letter Phi (φ) represents the irrational number 1.6180339887 approximately. The unique and mystifying properties of this number have attracted many researchers and mathematicians. Artists and designers tried to employ the golden ratio in eminent works of drawing, artifacts, painting, and architectures as golden ratio design is very pleasing to look at because the golden ratio itself is discovered from nature through the body proportions of living beings. Nowadays every big organization or company converts its design or logo to a golden ratio design and hires the biggest designers with the highest cost to make it as only the highest professional designers can make it and look good. This paper proposes a framework for generating a golden ratio design using golden circles through a sketched design from the user so that the output design is near to the input design. Genetic algorithm is used to optimize the output design. i.e., maximize the similarity between the input sketched design by the user and the output design using golden ratio in less computational time. The data set presented in this work is collected by the authors and could be downloaded from the following link: https://drive.google.com/file/d/1IEKIs0f1mLxSf7hPZhVKRU0Aiv4VXGax/view?usp=sharing.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Li, T.M., Lukáč, M., Gharbi, M., Ragan-Kelley, J.: Differentiable vector graphics rasterization for editing and learning. ACM Trans. Graph. 39(6), (2020)

    Google Scholar 

  2. Sezgin, T.M., Stahovich, T., Davis R.: Sketch Based Interfaces, p. 37 (2007)

    Google Scholar 

  3. Yu, B., Cai, S.: A domain-independent system for sketch recognition. In: Proc. 1st Int. Conf. Comput. Graph. Interact. Tech. Australas. South East Asia, Graph. ’03, pp. 141–146 (2003)

    Google Scholar 

  4. Paulson, B., Hammond, T.: PaleoSketch: accurate primitive sketch recognition and beautification. In: Int. Conf. Intell. User Interfaces, Proc. IUI, pp. 1–10 (2008)

    Google Scholar 

  5. Gogna, A., Tayal, A.: Metaheuristics: review and application. 25(4), 503–526 (2013). https://doi.org/10.1080/0952813X.2013.782347

  6. Mohamed, A.W., Hadi, A.A., Mohamed, A.K.: Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm. Int. J. Mach. Learn. Cybern. 11(7), 1501–1529 (2020)

    Article  Google Scholar 

  7. Katoch, S., Chauhan, S.S., Kumar, V.: A review on genetic algorithm: past, present, and future. Multimed. Tools Appl. 80, 8091–8126 (2021)

    Google Scholar 

  8. Holland, J.H.: Adaptation in Natural and Artificial Systems. Univ. Michigan Press, Michigan (1975)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ali Khater Mohamed .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Ibrahim, K.H.S., Mohamed, A.K., Farouk, A. (2022). Genetic Algorithm Golden Ratio Design Model for Auto Arts. In: Mohamed, A., Oliva, D., Suganthan, P.N. (eds) Handbook of Nature-Inspired Optimization Algorithms: The State of the Art. Studies in Systems, Decision and Control, vol 212. Springer, Cham. https://doi.org/10.1007/978-3-031-07512-4_8

Download citation

Publish with us

Policies and ethics