Open Access
Issue
MATEC Web Conf.
Volume 108, 2017
2017 International Conference on Mechanical, Aeronautical and Automotive Engineering (ICMAA 2017)
Article Number 10007
Number of page(s) 4
Section Control Theory and Technology
DOI https://doi.org/10.1051/matecconf/201710810007
Published online 31 May 2017
  1. Marler, R., Arora, J. Survey of multi-objective optimization methods for engineering; Struct Multid Opt, 26(1), 369–395, 2004. [CrossRef] [Google Scholar]
  2. Faulkenberg, S., Wiecek, M. On the quality of discrete representations in multiple objective programming; Opt Engng, 11(3), 423–440, 2010. [CrossRef] [Google Scholar]
  3. Cao, Y., Smucker, B., Robinson, T. On using the hypervolume indicator to compare Pareto fronts: Applications to multi-criteria optimal experimental design; J Stat Plan Inf, 160(8), 60–74, 2015. [CrossRef] [Google Scholar]
  4. Lu, L., Anderson-Cook, C., Adapting the hypervolume quality indicator to quantify trade-offs and search efficiency for multiple criteria decision making using Pareto fronts; Qual Reliab Engng Int, 29(8), 1117–1133, 2012. [CrossRef] [Google Scholar]
  5. Chapman, J., Lu, L., Anderson-Cook, C. Impact of response variability on Pareto front optimization; Statistical Analysis and Data Mining: The ASA Data Science J, 8(5-6), 314–328, 2015. [Google Scholar]
  6. Costa, N., Pereira, Z. Multiple response optimization: a global criterion-based method; J Chemom, 24(6), 333–342, 2010. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.