A Many-Objective Evolutionary Algorithm with Local Shifted Density Estimation Based on Dynamic Decomposition

Wei, Li-sen; Li, Erchao

doi:10.1016/j.jksuci.2023.101693

Journal of King Saud University - Computer and Information Scie

2023

DOI: 10.1016/j.jksuci.2023.101693

|View full text |Cite

A Many-Objective Evolutionary Algorithm with Local Shifted Density Estimation Based on Dynamic Decomposition

Li-sen Wei

Erchao Li

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...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

A Grey Prediction‐Based Reproduction Strategy for Many‐Objective Evolutionary Algorithm

Wei,

2024

International Journal of Intelligent Systems

View full text Add to dashboard Cite

Many‐objective evolutionary algorithms (MaOEAs) consisted of environmental selection and reproduction operator. However, few studies focus on how to design reproduction operators to improve the performance of MaOEAs. In this paper, a reproduction operator based on grey prediction is proposed for MaOEAs, named GPRS. Specifically, the grey prediction assisted by reference vector is first used to get the target location. Then, a fine regulation is designed to generate potential solutions by handling the different information further. Finally, a gene sharing strategy is executed to accelerate the convergence by information exchange. The effectiveness of the proposed reproduction strategy is validated by comparing it with five widely used reproduction operators by embedding into a classical framework NSGAIII. At the same time, an improved NSGAIIIGPRS is developed by embedding the proposed GPRS and compared with seven excellent algorithms on a number of benchmark problems and one practical application. The final experimental results show that the proposed GPRS has significant advantages over similar reproduction strategies, and the improved NSGAIIGRPS is more effective compared with other excellent algorithms in handling many‐objective optimization problem.

show abstract

A Grey Prediction‐Based Reproduction Strategy for Many‐Objective Evolutionary Algorithm

Wei,

2024

International Journal of Intelligent Systems

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.

A Many-Objective Evolutionary Algorithm with Local Shifted Density Estimation Based on Dynamic Decomposition

Cited by 1 publication

References 47 publications

A Grey Prediction‐Based Reproduction Strategy for Many‐Objective Evolutionary Algorithm

A Grey Prediction‐Based Reproduction Strategy for Many‐Objective Evolutionary Algorithm

Contact Info

Product

Resources

About