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此代码实现的功能是利用微粒群算法对传感器网络节点配置算法——虚拟力算法中参数的优化。优化后，节点配置较优。-This code implements the functions is the use of particle swarm optimization algorithm for sensor network node configuration- virtual force algorithm parameters optimization. After optimization, t
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基于量子遗传算法的无线传感器网络路径优化Based on quantum genetic algorithm optimization of wireless sensor network path-Based on quantum genetic algorithm optimization of wireless sensor network path
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传感器网络的粒子群优化定位算法，有多篇经典文献，并有仿真实例。-Sensor network of particle swarm optimization localization algorithm, have more than paper classical literature, and a simulation example.
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传感器网络的粒子群优化定位算法，及其基于差分进化算法的定位算法，带有2个simulink仿真。-Sensor network of particle swarm optimization localization algorithm, and its evolution algorithm based on difference of localization algorithm, with two simulink.
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无线传感器网络布局优化的粒子群导向虚拟力算法仿真程序，有程序分析和解释。
-Wireless sensor network layout simulation program oriented virtual force algorithm of particle swarm optimization, program analysis and interpretation.
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带惩罚函数的约束粒子群优化问题，在无线传感器网络节点定位中的应用-With the penalty function bound particle swarm optimization problems in wireless sensor network node localization
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基于微粒群模型的无线传感器网络节点部署研究-Research on the deployment of wireless sensor network node based on particle swarm optimization model
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无线传感器网络路由优化 蚁群算法 有消耗能量 生命周期-Wireless sensor network routing ant colony optimization algorithm life cycle energy consumption
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