Like the N-convex algorithm, this algorithm attempts to find a set of candidates whose centroid is close to . The key difference is that instead of taking unique candidates, we allow candidates to populate the set multiple times. The result is that the weight of each candidate is simply given by its frequency in the list, which we can then index by random selection:
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。同城约会对此有专业解读
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在地处热带的冈比亚中河区广袤原野上，炽热的阳光照耀着一片无垠的金色海洋。微风拂过，稻穗轻轻晃动，稻叶沙沙作响。看着眼前的马鲁奥农场，农场主穆萨·达博欣喜不已：“这预示着又一个丰收季节。”