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:
美利達則在巨大事件後宣布全面實施「零付費政策」，並補償現職移工過去支付的仲介費。
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This article was published in February 2026
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