Genetic algorithm (GA) has been successfully applied to codebook design for vector quantization (VQ). However, most conventional GA-based codebook design methods need long runtime because candidate solutions must be "ne tuned by LBG. In this paper, a partition-based GA is applied to codebook design, which is referred to as genetic vector quantization (GVQ). In addition, simulated annealing (SA)...

genetic typing methods of t. gondii strains have been extensively perfected in recent years. from a technical point of view, many tools usable for genetic studied on single-copy loci have been used: rflp, pcr-rflp, sequencing, rapd-pcr and isoenzyme analysis. we described the cloning and sequence analysis of the gene which encodes the major surface antigen (sag1 or p30) of t. gondii. sag1 is th...

⎯Due to the lack of a structure way in determining the free parameters of support vector machines (SVMs), this study uses genetic algorithms (GAs) to select parameters of SVMs. In addition, the developed SVMG (support vector machine with genetic algorithms) model is applied to reliability prediction. Two numerical examples in the literature are employed to illustrate the performances of various...

In his paper a deterministic two warehouse Electronic component inventory model for deteriorating items, timedependent demand, variable holding cost and vector evaluated genetic algorithm has been developed under assumption that the Electronic component inventory cost including time-dependent demand, holding cost, vector evaluated genetic algorithm and deterioration cost in Rented Warehouse is ...

Parameters of support vector machines (SVM) which is optimized by standard genetic algorithm is easy to trap into the local minimum, in order to get the optimal parameters of support vector machine, this paper proposed a parameters optimization method for support vector machines based on improved genetic algorithm, the simulation experiment is carried out on 5 benchmark datasets. The simulation...