Proceedings of 2011 International Conference on Electronic &Amp; Mechanical Engineering and Information Technology 2011
DOI: 10.1109/emeit.2011.6023352
|View full text |Cite
|
Sign up to set email alerts
|

A novel approach to solving weapon-target assignment problem based on hybrid particle swarm optimization algorithm

Bo Zhu
1
,
Fengxing Zou
2
,
Jiahua Wei
3
Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
2
2
1

Relationship

0
5

Authors

Journals

citations
Cited by 7 publications
references
References 3 publications
0
0
0
Order By: Relevance
scite logo

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

Product
Browser ExtensionAssistant by sciteCitation Statement SearchReference CheckVisualizationsDashboardsExplore JournalsExplore OrganizationsExplore FundersEmbedding BadgeEmbedding Citation SearchPricing
Resources
BlogHelp & FAQAccessibility StatementAPI TermsFor Universities & GovernmentsFor ResearchersFor PublishersFor Corporate, Pharma & EnterpriseAuthor MarketingBecome an AffiliateGet an organization trial or quotescite Data & Services
About
News & PressCareersRead our PaperCoverage

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

BlogTerms and ConditionsAPI TermsPrivacy PolicyContactCookie PreferencesDo Not Sell or Share My Personal Information

Copyright © 2025 scite LLC. All rights reserved.

Made with 💙 for researchers

Part of the Research Solutions Family.