The effectiveness of hybridization mechanism of IHDE-EDA is first discussed, and then simulation and comparison based on three benchmark problems demonstrate the efficiency, accuracy and robustness of IHDE-EDA.
Based on three benchmark test collections Cranfield, Medline and CACM, experiments have been carried out to compare our method with three well-known query optimization methods on relevance feedback: the traditional Ide Dec-hi method, the Horng and Yeh's GA-based method and the López-Pujalte et al.'s GA-based method.
It could also break out the data based on two benchmark years, before 1985 and after 1993.
Simulations and comparisons based on twenty benchmark problems and four real-world engineering designs demonstrate the effectiveness, efficiency and stability of NBA compared with the basic BA and some well-known algorithms, and suggest that to improve algorithm based on biological basis should be very efficient.
An extensive computational study is based on two benchmark sets of randomly generated instances with up to 1300 nodes and 115,000 edges.
Figure 4 shows the resulting AUC scores and the number of inferred features by L1LOG and L2LOG based on nine benchmark datasets with different clustering thresholds (see the Method section for more details).
Finally, based on four benchmark datasets, we demonstrated the effectiveness of our approach, by comparing with NBI, BLM, and BLM's extensions in cross validation and predicting potential interactions in unapproved DTPs under checking in existing databases.
For example, the pharmacogenomic approach worked well for the TestDrug-TrainProtein pairs when the chemical similarity threshold is 0.2, and for the TestDrug-TestProtein pairs when the chemical similarity threshold lies in the range 0.2-0.5 0.2-0.5 5 shows the resulting AUC scores and the number of inferred features for L1LOG-C and L2LOG-C based on nine benchmark datasets.
In the recently published Innocenti Report Card no. 8 by UNICEF (2008), Hungary is 8th among 25 OECD countries in terms of provision of early childhood care, based on ten benchmarks related to four broad categories: policy framework, access to services and their quality, and supporting context.
We demonstrate solver performance based on three two-phase benchmark problems: two-phase shock-tube problem, faucet flow problem, and Christensen boiling pipe problem.
Experimental results based on ten representative benchmark problems indicate that, MIAB outperforms the original immune algorithm, it performs better or similarly the other two outstanding approached NSGAII and MOEA/D in solution quality on most of the eight testing MOPs.
