A novel particle swarm optimization approach for product design and manufacturing
International Journal of Advanced Manufacturing Technology, ISSN: 0268-3768, Vol: 40, Issue: 5-6, Page: 617-628
2009
- 207Citations
- 62Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
This paper presents a novel optimization approach that is a new hybrid optimization approach based on the particle swarm optimization algorithm and receptor editing property of immune system. The aim of the present research is to develop a new optimization approach and then to apply it in the solution of optimization problems in both the design and manufacturing areas. A single-objective test problem, tension spring problem, pressure vessel design optimization problem taken from the literature and two case studies for multi-pass turning operations are solved by the proposed new hybrid approach to evaluate performance of the approach. The results obtained by the proposed approach for the case studies are compared with a hybrid genetic algorithm, scatter search algorithm, genetic algorithm, and integration of simulated annealing and Hooke-Jeeves pattern search. © 2008 Springer-Verlag London Limited.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=59749087555&origin=inward; http://dx.doi.org/10.1007/s00170-008-1453-1; http://link.springer.com/10.1007/s00170-008-1453-1; http://link.springer.com/content/pdf/10.1007/s00170-008-1453-1; http://link.springer.com/content/pdf/10.1007/s00170-008-1453-1.pdf; http://link.springer.com/article/10.1007/s00170-008-1453-1/fulltext.html; https://dx.doi.org/10.1007/s00170-008-1453-1; https://link.springer.com/article/10.1007/s00170-008-1453-1; http://www.springerlink.com/index/10.1007/s00170-008-1453-1; http://www.springerlink.com/index/pdf/10.1007/s00170-008-1453-1
Springer Science and Business Media LLC
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