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首页> 外文期刊>International Journal of Innovative Computing Information and Control >ACCUMULATOR BET SELECTION THROUGH STOCHASTIC DIFFUSION SEARCH
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ACCUMULATOR BET SELECTION THROUGH STOCHASTIC DIFFUSION SEARCH

机译：累加器通过随机扩散搜索选择

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摘要

An accumulator is a bet that presents a rather unique payout structure, in that it combines multiple bets into a wager that can generate a total payout given by the multiplication of the individual odds of its parts. These potentially important returns come however at an increased risk of a loss. Indeed, the presence of a single incorrect bet in this selection would make the whole accumulator lose. The complexity of selecting a set of matches to place an accumulator bet on, as well as the number of opportunities to identify winning combinations have both dramatically increased with the easier access to online and offline bookmakers that bettors have nowadays. We address this relatively under-studied combinatorial aspect of sports betting, and propose a binary optimization model for the problem of selecting the most promising combinations of matches, in terms of their total potential payout and probability of a win, to form an accumulator bet. The results of an ongoing computational experiment, in which our model is applied to real data pertaining to the four main football leagues in the world over a complete season, are presented and compared to those of single bet selection methods.
机译：累加器是一个呈现相当独特的支付结构的下注，因为它将多个投注组合成一个赌注，该赌注可以生成通过其部件的各个次数的乘数提供的总支付的赌注。然而，这些潜在的重要回报可能是损失的风险增加。实际上，在这个选择中存在一个不正确的赌注将使整个累加器失去。选择一系列比赛的复杂性，放置累积器赌注，以及识别获胜组合的机会的数量随着对博特斯特的更容易访问的越来越容易进入博特斯人现在。我们解决了运动投注的相对较低的组合方面，并提出了一个二进制优化模型，用于选择最有前途的匹配组合，就其总潜力支付和胜利的概率而言，形成累积器赌注。正在进行的计算实验的结果，其中我们的模型应用于全球四个主要足球联赛的真实数据，并与单一投注选择方法相比。

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