首页> 外文会议>Evolutionary Computation, 2004. CEC2004. Congress on >Bi-criteria model for locating a semi-desirable facility on a plane using particle swarm optimization
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Bi-criteria model for locating a semi-desirable facility on a plane using particle swarm optimization

机译:使用粒子群算法在平面上定位半期望设施的双标准模型

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摘要

The problem of locating a semi-desirable facility on a plane is considered. A bi-criteria model is used. One of the criteria is well known minimum criterion. The second criterion is a weighted sum of Euclidean distances raised to the power of negative one. This function represents the aggregate undesirable effects of the facility and it is also a minimization problem. The bi-criteria model consists of a linear combination of these two criteria. The proposed model solved by particle swarm optimization provides better results than a previously proposed heuristic.
机译:考虑了在飞机上放置半期望的设施的问题。使用双标准模型。标准之一是众所周知的最小标准。第二个标准是欧几里德距离的加权和加到负数的幂。此功能代表了该设备的总体不良影响,也是一个最小化的问题。双标准模型由这两个标准的线性组合组成。与先前提出的启发式算法相比,通过粒子群优化解决的提出的模型提供了更好的结果。

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