These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
22. TU-G-BRB-02: A New Mathematical Framework for IMRT Inverse Planning with Voxel-Dependent Optimization Parameters. Zarepisheh M; Uribe-Sanchez A; Li N; Jia X; Jiang S Med Phys; 2012 Jun; 39(6Part24):3919. PubMed ID: 28518668 [TBL] [Abstract][Full Text] [Related]
23. The Mass-Longevity Triangle: Pareto Optimality and the Geometry of Life-History Trait Space. Szekely P; Korem Y; Moran U; Mayo A; Alon U PLoS Comput Biol; 2015 Oct; 11(10):e1004524. PubMed ID: 26465336 [TBL] [Abstract][Full Text] [Related]
24. The use of automated parameter searches to improve ion channel kinetics for neural modeling. Hendrickson EB; Edgerton JR; Jaeger D J Comput Neurosci; 2011 Oct; 31(2):329-46. PubMed ID: 21243419 [TBL] [Abstract][Full Text] [Related]
25. The feasibility of using Pareto fronts for comparison of treatment planning systems and delivery techniques. Ottosson RO; Engstrom PE; Sjöström D; Behrens CF; Karlsson A; Knöös T; Ceberg C Acta Oncol; 2009; 48(2):233-7. PubMed ID: 18752085 [TBL] [Abstract][Full Text] [Related]
26. A Meta-Objective Approach for Many-Objective Evolutionary Optimization. Gong D; Liu Y; Yen GG Evol Comput; 2020; 28(1):1-25. PubMed ID: 30475673 [TBL] [Abstract][Full Text] [Related]
27. A divide-and-conquer approach to determine the Pareto frontier for optimization of protein engineering experiments. He L; Friedman AM; Bailey-Kellogg C Proteins; 2012 Mar; 80(3):790-806. PubMed ID: 22180081 [TBL] [Abstract][Full Text] [Related]
28. PNaV: A tool for generating a high-dose-rate brachytherapy treatment plan by navigating the Pareto surface guided by the visualization of multidimensional trade-offs. Deufel CL; Epelman MA; Pasupathy KS; Sir MY; Wu VW; Herman MG Brachytherapy; 2020; 19(4):518-531. PubMed ID: 32423786 [TBL] [Abstract][Full Text] [Related]
29. Pareto optimality in organelle energy metabolism analysis. Angione C; Carapezza G; Costanza J; Lió P; Nicosia G IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(4):1032-44. PubMed ID: 24334395 [TBL] [Abstract][Full Text] [Related]
30. Correlations in ion channel expression emerge from homeostatic tuning rules. O'Leary T; Williams AH; Caplan JS; Marder E Proc Natl Acad Sci U S A; 2013 Jul; 110(28):E2645-54. PubMed ID: 23798391 [TBL] [Abstract][Full Text] [Related]
31. Evolutionary tradeoffs, Pareto optimality and the morphology of ammonite shells. Tendler A; Mayo A; Alon U BMC Syst Biol; 2015 Mar; 9():12. PubMed ID: 25884468 [TBL] [Abstract][Full Text] [Related]
32. Multiplicative approximations, optimal hypervolume distributions, and the choice of the reference point. Friedrich T; Neumann F; Thyssen C Evol Comput; 2015; 23(1):131-59. PubMed ID: 24654679 [TBL] [Abstract][Full Text] [Related]
34. A framework for controllable Pareto front learning with completed scalarization functions and its applications. Tuan TA; Hoang LP; Le DD; Thang TN Neural Netw; 2024 Jan; 169():257-273. PubMed ID: 37913657 [TBL] [Abstract][Full Text] [Related]
35. Searching for the Pareto frontier in multi-objective protein design. Nanda V; Belure SV; Shir OM Biophys Rev; 2017 Aug; 9(4):339-344. PubMed ID: 28799089 [TBL] [Abstract][Full Text] [Related]
36. Multidimensional optimality of microbial metabolism. Schuetz R; Zamboni N; Zampieri M; Heinemann M; Sauer U Science; 2012 May; 336(6081):601-4. PubMed ID: 22556256 [TBL] [Abstract][Full Text] [Related]
40. What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-Based Evolutionary Multiobjective Optimisation. Li M; Yao X Evol Comput; 2020; 28(2):227-253. PubMed ID: 32101027 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]