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A Symbiotic Organisms Search Algorithm for Blood Assignment Problem

机译:血液分配问题的共生生物搜索算法

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The demand for blood transfusion is considered a real world problem which is needed for various medical emergencies. The blood assignment problem was introduced to address this problem. The formulation of this problem stretches from managing critical blood shortage levels and blood unit expiration, to blood compatibility between donor and patients. Another contributing factor to the blood assignment problem, lies in the blood bank having to import additional blood units from external sources when supply cannot meet the demand. These challenges have serious consequences especially in the case where the demand for blood is very high. Taking these factors into consideration, this study implements a metaheuristic hybrid algorithm that combines symbiotic organisms search algorithm with the blood assignment policy in relation to the blood banks of South Africa. The aim of this study is to minimize blood product wastage with regards to expiration and importation, whilst maximizing product delivery to patients in need. In addition, this study also implements a unique way of generating randomized datasets based on social events relating to South Africa public holidays. The computational results indicate that the proposed hybrid algorithm performed well in minimizing blood importation, and experienced no form of expiration throughout the time period.
机译:对输血的需求被认为是各种医疗紧急情况所需要的一个现实世界的问题。引入了血液分配问题以解决该问题。这个问题的提出从管理严重的血液短缺水平和血​​液单位过期延伸到供体和患者之间的血液相容性。造成血液分配问题的另一个因素是,当供应量不能满足需求时,血库必须从外部来源进口更多的血液单位。这些挑战具有严重的后果,特别是在对血液的需求非常高的情况下。考虑到这些因素,本研究实现了一种元启发式混合算法,该算法将共生生物搜索算法与有关南非血库的血液分配策略相结合。这项研究的目的是最大程度地减少血液产品在到期和进口方面的浪费,同时最大程度地向有需要的患者提供产品。此外,这项研究还采用了一种独特的方式来生成与南非公共假期有关的社交事件的随机数据集。计算结果表明,所提出的混合算法在最小化血液输入方面表现良好,并且在整个时间段内均未经历任何形式的呼气。

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