The optimized allocation scheme aims to achieve maximized weighted-throughput with the help of a traffic predictor and a dynamic optimization algorithm.
优化分配方案基于流量预测器和动态优化算法，使网络的加权吞吐量接近最大化。
In this paper, dynamical LMS algorithm and global optimization algorithm, with a view to gradient of error probability, are proposed based on analysis of sub-carries allocation space for OFDM system.
通过对OFDM的子信道比特分配空间进行分析，本文提出着眼于误比特概率梯度的动态lms算法和全局优化算法。
Basing on particle swarm optimization, this paper gives the algorithm on coalition formation and the sub-task allocation in the agent-based distributed measurement system.
根据粒子群优化算法的基本原理，提出基于粒子群优化算法的智能体测试系统联盟形成以及测试子任务优化分配算法。
In order to improve the convergence performance of the algorithm, simulated annealing technique is introduced. The algorithm is adopted to solve the reliability optimization allocation problem.
为了提高算法的收敛性能，融入了模拟退火机制，并将此算法应用于复杂系统可靠性最优分配问题。
After that, this paper carries out structural optimization, algorithm optimization, compilation optimization and memory allocation optimization on the H. 264 encoder.
接着对H . 264编码器进行了结构优化、算法优化、汇编优化、和存储器分配优化。
Then, by use of multiple carrier system's frequency-sharing property and convex optimization, a subcarrier and power optimal allocation algorithm is proposed based on Lagrangian duality theory.
然后，运用凸优化技术分析了该资源分配问题，并基于拉格朗日对偶法给出了一种子载波和功率最优分配算法。
Based on the convex optimization, the algorithm jointly optimizes power allocation, subcarrier pairing, relay selection and user selection.
该算法基于凸优化理论，对功率分配、子载波配对、中继选择和用户选择进行了联合优化。
Then applied a hybrid ant colony algorithm to accomplish combinatorial optimization of task allocation.
其次利用混合蚁群算法快速收敛和分布式求解的特点实现任务分配的组合优化。
At the same time, a corresponding particle swarm optimization algorithm is presented to solve the optimization problem of integer resource allocation. This algorithm is easy to programming.
同时，针对整数资源分配这类组合优化问题，提出了相应的离散粒子群算法。
At the same time, a corresponding particle swarm optimization algorithm is presented to solve the optimization problem of integer resource allocation. This algorithm is easy to programming.
同时，针对整数资源分配这类组合优化问题，提出了相应的离散粒子群算法。
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