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EN
In this paper the Uncapacitated Multiple Allocation p-hub Median Problem (the UMApHMP) is considered. A new heuristic method based on a genetic algorithm approach (GA) for solving UMApHMP is proposed. The described GA uses binary representation of the solutions. Genetic operators which keep the feasibility of individuals in the population are designed and implemented. The mutation operator with frozen bits is used to increase the diversibility of the genetic material. The running time of the GA is improved by caching technique. Proposed GA approach is bench-marked on the well known CAB and AP data sets and compared with the existing methods for solving the UMApHMP. Computational results show that the GA quickly reaches all previously known optimal solutions, and also gives results on large scale AP instances (up to n=200, p=20) that were not considered in the literature so far.
EN
Fifteen early-lactation cows and 15 mid-lactation cows were chosen for the analysis. Blood samples were collected to measure the beta-hydroxybutyrate (BHB), non-esterified fatty acids (NEFA), triglycerides (TG), glucose (Glu), total protein (TP), albumin (ALB), total bilirubin (TB), urea (U)and the activity of aspartate transaminase (AST) and gamma-glutamyl transferase (GGT). Earlylactation cows showed significantly higher (P<0.05) values of serum BHB and NEFA, and lower of (P<0.05) glycemia levels compared to mid-lactation cows. High lipomobilization (NEFA >0.4 mmol/l) and subclinical ketosis (BHB >1.2 mmol/L) were detected in 6 (40%) and 14 (94.4%) early-lactation cows, respectively, and in none of the mid lactation cows. AST activities above 100 IU/l were detected in two early-lactation and none of the mid-lactation cows. TG concentrations below 0.12 mmol/l were found in 7 (44%) early-lactation and 2 (13.3%) mid-lactation cows. Glucose levels were below 2.5 mmol/l in 10 (66.6%) early-lactation and 5 (33.3%) mid-lactation cows. Early-lactation cows showed lower blood serum concentrations of TG (P>0.05), ALB (P>0.05), TP (P<0.05), U (P>0.05) and GTT (P>0.05) activities and higher concentrations of TB (P>0.05) and AST activities (P<0.05),as compared to mid-lactation cows. These metabolic characteristics were correlated with DMI and energy balance (EB). Blood serum values for glucose, TG, BHB, NEFA and AST showed that earlylactation cows suffered from metabolic disturbances, associated with ketosis, and some degree of hepatic lesions, probably due to fat infiltration. These serum parameters may have a key role in evaluating the metabolic status of dairy cows.
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