A bi-population clan-based genetic algorithm for heat pipe-constrained component layout optimization

Ye, Haoran; Liang, Helan; Yu, Tao; Wang, Jiarui; Guo, Hongwei

doi:10.1016/j.eswa.2022.118881

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 bi-population clan-based genetic algorithm for heat pipe-constrained component layout optimization

Cited by 6 publications

References 32 publications

Intelligent factory layout design framework through collaboration between optimization, simulation, and digital twin

Intelligent factory layout design framework through collaboration between optimization, simulation, and digital twin

Improved multi-search strategy A* algorithm to solve three-dimensional pipe routing design

Enhancing Emergency Department Efficiency: A Particle Swarm Optimization Approach

Contact Info

Product

Resources

About