Abstract
Genetic algorithms (GAs) are applied to searching for tape feeder arrangement to optimize placement time of chip mounters where a combination of parts placement sequence and tape feeder arrangement affect placement time under constraints. Compared to general GAs, our improved tape feeder arrangement GA using a new genetic operator called rotation was confirmed effective for multihead chip mounters handling several parts at once.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Advanced Computational Intelligence and Intelligent Informatics
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
