Funder
Australian Research Council
University of New South Wales
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Management Science and Operations Research,Control and Optimization,Computer Science Applications
Reference31 articles.
1. Asafuddoula, M., Ray, T., Sarker, R.: A decomposition-based evolutionary algorithm for many objective optimization. IEEE Trans. Evol. Comput. 19(3), 445–460 (2015)
2. Berezkin, V.E., Kamenev, G.K., Lotov, A.V.: Hybrid adaptive methods for approximating a nonconvex multidimensional pareto frontier. Comput. Math. Math. Phys. 46(11), 1918–1931 (2006)
3. Das, I., Dennis, J.E.: Normal-bounday intersection: a new method for generating pareto optimal points in multicriteria optimization problems. SIAM J. Optim. 8(3), 631–657 (1998)
4. Deb, K., Thiele, L., Laumanns, M., Zitzler, E.: Scalable multi-objective optimization test problems. In: Proceedings of the IEEE Congress on Evolutionary Computation. pp 825–830. IEEE, Honolulu, USA (2002)
5. Eskelinen, P., Miettinen, K., Klamroth, K., Hakanen, J.: Pareto navigator for interactive nonlinear multiobjective optimization. OR Spectrum 32(1), 211–227 (2010)
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献