HIERARCHICAL SOLUTION OF THE OPTIMUM ALLOCATION PROBLEM LAGRANGIAN RELAXATION AND EXPLICIT SOLUTION PRINCIPLES

2007 ◽  
Vol 40 (9) ◽  
pp. 339-344
Author(s):  
Milan Cepák ◽  
Vladimír Havlena
Keyword(s):  
Lagrangian Relaxation ◽  
Explicit Solution ◽  
Allocation Problem ◽  
Optimum Allocation

scholarly journals Modelling and Optimisation of UHF band EW Based WTA Problem within the Scope of Threat Assessment

2022 ◽  
Vol 72 (1) ◽  
pp. 73-82
Author(s):  
Merve Acarlar Barlas ◽  
Haluk Gozde ◽  
Semih Ozden
Keyword(s):  
Threat Assessment ◽  
Weather Conditions ◽  
Allocation Problem ◽  
Optimum Allocation ◽  
Electromagnetic Effect ◽  
Suggested Model ◽  
Electronic Warfare ◽  
Cost Constraints ◽  
Target Effect ◽  
Effect Ratio

The classical weapon target allocation (WTA) problem has been evaluated within the scope of electronic warfare (EW) threat assessment with an electromagnetic effect-based jammer- tactical radio engagement approach. As different from the literature, optimum allocation of non-directional jammers operating at different operating UHF frequencies under constraints to RF emitters is aimed in this study. The values of the targets are modelled using an original threat assessment algorithm developed that takes into account operating frequencies, jamming distance, and weather conditions. The computed jammer-target effect matrix has been solved under different scenarios according to the efficiency and cost constraints. It is seen at the end of the simulations that the allocation results for EW applications largely depend on the effect ratio used. The better results are taken in the case of under 0.5 effect ratio. Finally, jammer-radio allocation problem specified at the suggested model is solved successfully and effectively.

Hybrid maize breeding with doubled haploids: Comparison between selection criteria

2006 ◽  
Vol 54 (3) ◽  
pp. 343-350 ◽  
Author(s):  
C. F. H. Longin ◽  
H. F. Utz ◽  
A. E. Melchinger ◽  
J.C. Reif
Keyword(s):  
Selection Criteria ◽  
Doubled Haploids ◽  
Optimum Allocation ◽  
Finite Sample ◽  
Sample Sizes ◽  
Maize Breeding ◽  
Selection Gain ◽  
Breeding Programmes ◽  
Hybrid Maize ◽  
Breeding Resources

The optimum allocation of breeding resources is crucial for the efficiency of breeding programmes. The objectives were to (i) compare selection gain ΔGk for finite and infinite sample sizes, (ii) compare ΔGk and the probability of identifying superior hybrids (Pk), and (iii) determine the optimum allocation of the number of hybrids and test locations in hybrid maize breeding using doubled haploids. Infinite compared to finite sample sizes led to almost identical optimum allocation of test resources, but to an inflation of ΔGk. This inflation decreased as the budget and the number of finally selected hybrids increased. A reasonable Pk was reached for hybrids belonging to the q = 1% best of the population. The optimum allocations for Pk(q) and ΔGkwere similar, indicating that Pk(q) is promising for optimizing breeding programmes.

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