Robustness testing of non-hierarchic system optimization software

Author(s):  
Ernest Eason ◽  
Gustav Nystrom ◽  
Aragon Burlingham ◽  
Edward Nelson
2013 ◽  
Vol 718-720 ◽  
pp. 1651-1656
Author(s):  
Gao Gao Shang ◽  
Meng Ting Lu

Based on a technique of mixed programming with MATLAB and C#, the transmission parameters optimization software was developed to improve the power performance of off-road vehicle. The power loss rate and the starting acceleration time were chosen as objective function, and the requirements of the vehicle performance and the gearbox ratio interval was used as constraint conditions. The result of verification example showed that both objective function values are reduced after optimization and the effect of optimization with power loss rate is more significant.


2010 ◽  
Vol 14 (3) ◽  
pp. 15-34 ◽  
Author(s):  
Sengprasong Phrakonkham ◽  
Jean-Yves Le Chenadec ◽  
Demba Diallo ◽  
Ghislain Remy ◽  
Claude Marchand

Author(s):  
. Geetanjli

The power control in CDMA systems, grant numerous users to share resources of the system uniformly between each other, leading to expand capacity. With convenient power control, capacity of CDMA system is immense in contrast of frequency division multiple access (FDMA) and time division multiple access (TDMA). If power control is not achieved numerous problems such as the near-far effect will start to monopolize and consequently will reduce the capacity of the CDMA system. However, when the power control in CDMA systems is implemented, it allows numerous users to share resources of the system uniformly between themselves, leading to increased capacity For power control in CDMA system optimization algorithms i.e. genetic algorithm & particle swarm algorithm can be used which regulate a convenient power vector. These power vector or power levels are dogged at the base station and announce to mobile units to alter their transmitting power in accordance to these levels. The performances of the algorithms are inspected through both analysis and computer simulations, and compared with well-known algorithms from the literature.


Author(s):  
Igors Stroganovs ◽  
Andrejs Zviedris

Basic Statements of Research and Magnetic Field of Axial Excitation Inductor GeneratorIn this work the main features of axial excitation inductor generators are described. Mathematical simulation of a magnetic field is realized by using the finite element method. The objective of this work is to elucidate how single elements shape, geometric dimensions and magnetic saturation of magnetic system affect the main characteristics of the field (magnetic induction, magnetic flux linkage). The main directions of a magnetic system optimization are specified.


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