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In the first part, I shall present a new way to construct highly stiff stable schemes. Traditional time discretization schemes are usually based on Taylor expansions at $t_{n+\beta}$ with $\beta\in [0...
We present a simple decentralized algorithm to solve optimization problems involving cooperative agents. Cooperative agents share a common objective and simultaneously pursue private goals. Furthermor...
The reduced gradient evaluations provide major computa tional savings for unstructured grids and its accuracy and use for canonical and industrial problems is a major contribution of this study. The d...
The use of adjoints for PDE constrained optimization problems has become a common design tool in many areas of applied engineering. The use of adjoint methods for shape optimization has received much ...
This paper describes the work carried out within the Stanford University group as part of the DARPA-funded Quiet Supersonic Platform (QSP) project. The objective of our work was to develop advanced nu...
For a linear array, the excitation coefficients of each element and its geometry play an important role, because they will determine the radiation pattern of the given array. Side Lobe Level (SLL) is ...
Rational Function Models (RFM) are one of the most considerable approaches for spatial information extraction from satellite images especially where there is no access to the sensor parameters. As the...
In order to strengthen academic exchanges and discussions on the fields of computational sciences and optimization, The Third International Joint Conference on Computational Sciences and Optimization ...
规定管网中每一管段最多只能由两种管径的管道组成,提出一种以管网年费用为目标函数,以水泵扬程、管长和标准管径为决策变量的机压树状输水管网优化数学模型。定义种群中个体的不可行度函数,采用基于解的不可行度退火算法处理约束条件。应用模拟退火算法,对解的不可行度进行局部优化,使其逐步逼近可行解。将遗传算法全局优化和模拟退火的良好局部搜索能力有机结合,构造出一种退火遗传算法用于机压树状管网优化设计。仿真结果表...
A new genetic algorithm (GA) methodology, Bipopulation-Based Genetic Algorithm with Enhanced Interval Search (BGAwEIS), is introduced and used to optimize the design of truss structures with various c...
Differential Evolution (DE) algorithm is a new heuristic approach mainly having three advantages; finding the true global minimum regardless of the initial parameter values, fast convergence, and usin...
Optimization of SAD Algorithm on VLIW DSP     Optimal implementation  SAD algorithm  VLIW  TMS320C6713       font style='font-size:12px;'> 2010/2/2
SAD (Sum of Absolute Difference) algorithm is heavily used in motion estimation which is computationally highly demanding process in motion picture encoding. To enhance the performance of motion pi...
To establish optical communication between any two satellites, the transmitter satellite must track the beacon of the receiver satellite and point the information optical beam in its direction. Opt...
A dual particle swarm optimization - immune algorithm solution is presented in this paper to deal with the problem of optimum radial reconfiguration and reactive power compensation in distribution sys...
In a parametric optimization problem the genes code the real parameters of the fitness function. There are two coding techniques known under the names of: binary coded genes and real coded genes. Th...

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