scholarly journals A Joint Power/Performance Optimization Algorithm for Multiprocessor Systems Using a Period Graph Construct

2000 ◽  
Author(s):  
Neal K. Bambha ◽  
Shuvra S. Bhattacharyya
Keyword(s):  
Optimization Algorithm ◽  
Performance Optimization ◽  
Multiprocessor Systems ◽  
Power Performance ◽  
Joint Power

Joint power and duty-cycle design using alternating optimization algorithm under energy harvesting architectures

2020 ◽  
Vol 17 (12) ◽  
pp. 139-155
Author(s):  
Tong Wang ◽  
Xiang Yang ◽  
Feng Deng ◽  
Lin Gao ◽  
Yufei Jiang ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Optimization Algorithm ◽  
Duty Cycle ◽  
Joint Power ◽  
Alternating Optimization

scholarly journals Beam Performance Optimization of Multibeam Imaging Sonar Based on the Hybrid Algorithm of Binary Particle Swarm Optimization and Convex Optimization

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Weijie Xia ◽  
Xue Jin ◽  
Fawang Dou
Keyword(s):  
Particle Swarm Optimization ◽  
Convex Optimization ◽  
Optimization Algorithm ◽  
Performance Optimization ◽  
Hybrid Algorithm ◽  
Particle Swarm ◽  
Binary Particle Swarm Optimization ◽  
Swarm Optimization ◽  
Two Factors ◽  
Imaging Sonar

It should be noted that the peak sidelobe level (PSLL) significantly influences the performance of the multibeam imaging sonar. Although a great amount of work has been done to suppress the PSLL of the array, one can verify that these methods do not provide optimal results when applied to the case of multiple patterns. In order to suppress the PSLL for multibeam imaging sonar array, a hybrid algorithm of binary particle swarm optimization (BPSO) and convex optimization is proposed in this paper. In this algorithm, the PSLL of multiple patterns is taken as the optimization objective. BPSO is considered as a global optimization algorithm to determine best common elements’ positions and convex optimization is considered as a local optimization algorithm to optimize elements’ weights, which guarantees the complete match of the two factors. At last, simulations are carried out to illustrate the effectiveness of the proposed algorithm in this paper. Results show that, for a sparse semicircular array with multiple patterns, the hybrid algorithm can obtain a lower PSLL compared with existing methods and it consumes less calculation time in comparison with other hybrid algorithms.

scholarly journals Power performance optimization and loads alleviation with active flaps using individual flap control

2016 ◽  
Vol 749 ◽  
pp. 012010
Author(s):  
Vasilis Pettas ◽  
Thanasis Barlas ◽  
Drew Gertz ◽  
Helge A Madsen
Keyword(s):  
Performance Optimization ◽  
Power Performance

Landing Performance Optimization Algorithm of Civil Aircrafts

2012 ◽  
Vol 253-255 ◽  
pp. 2176-2180
Author(s):  
Hong Ying Chen ◽  
Wen Tian Luo
Keyword(s):  
Optimization Algorithm ◽  
Performance Optimization

This paper explains and demonstrates how to calculate and optimize landing performance. According regulation requirement, it needs to consider the different requirements [1], including landing field length, missed approach climb gradient, brake energy and tire speed. Weights limited by the different requirements are calculated, the minimum of these weights limited are determined as the actual allowed maximum landing weight.

scholarly journals A control-based methodology for power-performance optimization in NoCs exploiting DVFS

2015 ◽  
Vol 61 (5-6) ◽  
pp. 197-209 ◽  
Author(s):  
Davide Zoni ◽  
Federico Terraneo ◽  
William Fornaciari
Keyword(s):  
Performance Optimization ◽  
Power Performance

The Exergy Efficiency and Output Acoustic Power Performance Optimization of the Thermoacoustic Engine Micro-Cycle

2013 ◽  
Vol 712-715 ◽  
pp. 1609-1613 ◽  
Author(s):  
Jie Lin ◽  
Feng Wu ◽  
Jin Hua Fei ◽  
Tuo Wang
Keyword(s):  
Heat Resistance ◽  
Objective Function ◽  
Performance Optimization ◽  
Finite Time ◽  
Acoustic Power ◽  
Exergy Efficiency ◽  
Power Performance ◽  
Thermoacoustic Engine ◽  
The Relationship ◽  
High Output

The relationship between exergy efficiency and output acoustic power of the thermoacoustic engine microcycle model which only was accounted for the heat resistance had been analyzed using finite time thermodynamics.And through the new objective function,we obtain the optimization that not only obtain high exergy efficiency but also high output acoustic power at the same time.Optimized imperfection that we only pursue the high exergy efficiency, we obtain low output acoustic power and vice versa.We approve this conclusion by numerical calculation.The results that we obtained will be useful to optimal the design of a actual thermoacoustic engine.

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