The study aims to develop proposed predictive formulas for determining the unconfined compression strength (UCS) of cement/lime stabilized Queensland soil based on Multi-Gene Genetic Programming (MGGP) and Artificial Neural Network (ANN). models evaluate effect three independent variables, including binder type (cement lime), content, curing time, UCS soil. results show that selected optimal MG...

 In this paper, a new Dynamic Geometric Genetic Programming (DGGP) technique is applied to empirical analysis of financial ratios and bankruptcy prediction. Financial ratios are indeed desirable for prediction of corporate bankruptcy and identification of firms’ impending failure for investors, creditors, borrowing firms, and governments. By the time, several methods have been attempted in...

genetic markers are one of the advances which have occured in the genomics era. among genetic markers, molecular markers mainly because of their abundance, are the most widely used them. development of molecular markers has greatly altered genetics and plant breeding. genetic markers indicate the genetic differences between different organs or species. some studies which were conducted during t...

introduction: gestational diabetes mellitus (gdm) is defined as abnormal glucose tolerance that is first identified or diagnosedduring pregnancy.deiodinase d2 is essential for the local production of t3 through deiodination of triiodothyroxine (t4). several polymorphisms in d2 have been described. the single-nucleotide polymorphism (snp) in d2 thr92ala is associated with decreased enzyme activi...

in this study the genetic polymorphism of growth hormone (gh) gene as a candidate gene in livestock was investigated. blood samples were randomly collected from 34 alpine and 42 saanen goats. dna was extracted from blood samples and a 365 bp region of exon 5 of the gh genewas amplified by polymerase chain reaction (pcr). pcr products were analyzed using single strand conformation polymorphism (...

combining ability effects were estimated for different agronomic characters in line × tester crossing program comprising 21 hybrids produced by crossing 7 lines and 3 testers. parents and hybrids differed significantly for general combining ability (gca) and specific combining ability (sca) effects, respectively. the variance due to gca and sca showed that gene action was predominantly additive...

In this paper, the problem under consideration is multiobjective non-linear fractional programming problem involving semilocally convex and related functions. We have discussed the interrelation between the solution sets involving properly efficient solutions of multiobjective fractional programming and corresponding scalar fractional programming problem. Necessary and sufficient optimality...