1. Adelaide Research & Scholarship

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Results 21-29 of 29 (Search time: 0.003 seconds).
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PreviewIssue DateTitleAuthor(s)
2007Speeding Up Evolutionary Algorithms through Asymmetric Mutation OperatorsDoerr, B.; Hebbinghaus, N.; Neumann, F.
2009Toward video-based navigation for endoscopic endonasal skull base surgeryMirota, D.; Wang, H.; Taylor, R.; Ishii, M.; Hager, G.; MICCAI (12th : 2009 : London, U.K.)
2010Hippocampal shape classification using redundancy constrained feature selectionZhou, L.; Wang, L.; Shen, C.; Barnes, N.; International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) (13th : 2011 : Beijing, China)
2021Systematic evaluation of machine learning methods for identifying human–pathogen protein–protein interactionsChen, H.; Li, F.; Wang, L.; Jin, Y.; Chi, C.-H.; Kurgan, L.; Song, J.; Shen, J.
2014Multiobjective resource-constrained project scheduling with a time-varying number of tasksAbello, M.; Michalewicz, Z.
2011Computational complexity analysis of simple genetic programming on two problems modeling isolated program semanticsDurrett, G.; Neumann, F.; O'Reilly, U.; ACM SIGEVO Workshop on Foundations of Genetic Algorithms (11th : 2011 : Schwarzenberg, Austria)
2014A hybrid evolutionary algorithm for wheat blending problemLi, X.; Bonyadi, M.; Michalewicz, Z.; Barone, L.
2009Computing single source shortest paths using single-objective fitness functionsBaswana, S.; Biswas, S.; Doerr, B.; Friedrich, T.; Kurur, P.; Neumann, F.; Garibay, I.I.; Jansen, T.; Wiegand, R.P.; Wu, A.S.; ACM SIGEVO Workshop on Foundations of Genetic Algorithms (10th : 2009 : Orlando, Florida)
2009Additive approximations of Pareto-optimal sets by evolutionary multi-objective algorithmsHoroba, C.; Neumann, F.; Garibay, I.I.; Jansen, T.; Wiegand, R.P.; Wu, A.S.; ACM SIGEVO Workshop on Foundations of Genetic Algorithms (10th : 2009 : Orlando, Florida)

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