AUTOMATIC PATH-ORIENTED TEST DATA GENERATION USING A MULTI-POPULATION GENETIC ALGORITHM

Nandi, “Automatic digital modu-lation recognition using artificial neural network and genetic _algorithm,” Signal Processing, vol.. Mobasseri, “Digital modulation classification using _c[r]

Fig 1 Energy comparison between tracking and fixed solar system [9]
In this research, solar cell polycrystalline and GA has been used to fully maximize the performance of the solar tracking prototype. GA is used to overcome the current limitation of the method that had been used by other res[r]

CC point into account. This may result in the occurrence of gouging. Other tool optimisation methods described by Redonnet et al. (1998) and Rao and Sarma (2000) fit the tool as close as possible to the part surface. These optimisation techniques use the entire surface definition to avoid the[r]

This paper describes the first data-oriented monologue-to-dialogue generation system which re-lies on the automatic mapping of the discourse relations underlying monologue to appropriate[r]

Accurate detection of polymorphisms with a next generation sequencer data is an important element of current genetic analysis. However, there is still no detection pipeline that is completely reliable.

Such methods can be used for multilingual summarization defined by Mani 2001 as “processing several languages, with summary in the same language as input.” In this pa-per, we introduce M[r]

The results proved that, when the background traffic generation is driven by the genetic algorithm, the TCP performance is much lower than when traffic is generated by statistical method[r]

TRANG 1 PARAMETER ESTIMATION OF A PLUCKED STRING SYNTHESIS MODEL USING A GENETIC ALGORITHM WITH PERCEPTUAL FITNESS CALCULATION JANNE RIIONHEIMO _Laboratory of Acoustics and Audio Signal [r]

.. .AN ADAPTIVE MODEL FOR MULTI- MODAL BIOMETRICS DECISION FUSION TRAN QUOC LONG (B.Sc, Vietnam National University) A THESIS SUBMITTED FOR THE DEGREE OF MASTER OF ENGINEERING... registration and matching scores distribution changing problems using three biometrics, namely fingerprint, speech and ha[r]

save test case result from in-memory store to external store end loop
The streaming processing model is simpler than the buffered model, so it is often your best choice. However, in two common scenarios, you should consider using the buffered processing model. First, if the aspect in[r]

Since GHKM rules Galley et al., 2004 can cover multi-level tree fragments, a synchronous grammar extracted using the GHKM algorithm can have syn-chronous translation rules with more than[r]

This is proven in the next section, where first the selfsimilarity of the features are calculated, the segment splits are calculated using a shortest path algorithm with variable segment[r]

Figure 8 provides another picture of the variance reduction in the population by focusing on the similarity between the members. The similarity index between two members is defined as the percentage overlap of their genes. The similarity index of the population is the average of the in[r]

Examples of Bayesian network learning for medical data analysis include a genetic algorithm-based construction of a Bayesian network for predicting the survival in malignant skin melanom[r]

IP GENERATION METHODOLOGY _3.1._ _IP GENERATION FLOW_ TRANG 3 User IP interface Algorithm level exploration Data dynamic range evaluation Binary-point position determination Accuracy eva[r]

4 GENERATION OF RULES AND LOOK-UP DATA STRUCTURE 4.1 BUILDING A RULE SET FROM TRAINING PAIRS The training algorithm generates a data structure consisting of rules that a lemmatizer must [r]

Part 3: This one is about how to use a genetic algorithm GA to train a multi-layer neural network to solve some logic problem, ;f you have never come across genetic algorithms, perhaps m[r]

Sim-ulations show that an algorithm including random immigrants outperforms a more conventional algorithm using the breeder genetic algorithm as the mutation operator when the time varia[r]

PRIMARY INSTALLED NOT INSTALLED SECONDARY TRANG 17 _7.4.1_ _SCENARIO GENERATION_ Previous sections have presented a genetic algorithm combined with local search methods that can be effec[r]

The identification of copy number variants (CNVs) is essential to study human genetic variation and to understand the genetic basis of mendelian disorders and cancers. At present, genome-wide detection of CNVs can be achieved using microarray or second generation sequencing (SGS) data.