Surrogate-Assisted Evolutionary Generative Design Of Breakwaters Using Deep Convolutional Networks

Starodubcev, Nikita O.; Nikitin, Nikolay O.; Kalyuzhnaya, Anna V.

doi:10.1109/cec55065.2022.9870336

2022 IEEE Congress on Evolutionary Computation (CEC) 2022

DOI: 10.1109/cec55065.2022.9870336

|View full text |Cite

Surrogate-Assisted Evolutionary Generative Design Of Breakwaters Using Deep Convolutional Networks

Nikita O. Starodubcev

Nikolay O. Nikitin

Anna V. Kalyuzhnaya

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Book1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Interpretable Structural Analysis for Evolutionary Generative Design of Coastal Breakwaters

Sidorenko,

Starodubcev,

Pinchuk

et al. 2024

Communications in Computer and Information Science

View full text Add to dashboard Cite

This paper presents an interpretable approach for the generative design of coastal breakwaters that combines evolutionary optimization and structural analysis of solutions. It allows both to improve the convergence of optimization for breakwaters structure and analyze the sensitivity of each sub-part of the solution to various changes. We conduct experiments on synthetic harbour configuration to validate this approach. The results confirm the effectiveness of our method in generating high-quality and explainable breakwater designs.

show abstract

Interpretable Structural Analysis for Evolutionary Generative Design of Coastal Breakwaters

Sidorenko,

Starodubcev,

Pinchuk

et al. 2024

Communications in Computer and Information Science

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Surrogate-Assisted Evolutionary Generative Design Of Breakwaters Using Deep Convolutional Networks

Cited by 1 publication

References 15 publications

Interpretable Structural Analysis for Evolutionary Generative Design of Coastal Breakwaters

Interpretable Structural Analysis for Evolutionary Generative Design of Coastal Breakwaters

Contact Info

Product

Resources

About