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A Symbiotic Organisms Search Algorithm for Blood Assignment Problem

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Hybrid Metaheuristics (HM 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11299))

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Abstract

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.

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Author information

Authors and Affiliations

  1. School of Mathematics, Statistics and Computer Science, University of Kwazulu-Natal, Westville Campus, Private Bag X54001, Durban, 4000, South Africa

    Prinolan Govender

  2. School of Computer Science, University of KwaZulu-Natal, King Edward Road, Pietermaritzburg Campus, Pietermaritzburg, 3201, KwaZulu-Natal, South Africa

    Absalom E. Ezugwu

Authors
  1. Prinolan Govender
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  2. Absalom E. Ezugwu
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Corresponding author

Correspondence to Absalom E. Ezugwu .

Editor information

Editors and Affiliations

  1. Universitat Politècnica de Catalunya, Barcelona, Spain

    Maria J. Blesa Aguilera

  2. Spanish National Research Council, Bellaterra, Spain

    Christian Blum

  3. Universidade Federal de Ouro Preto, Ouro Preto, Brazil

    Haroldo Gambini Santos

  4. University of Concepción, Concepción, Chile

    Pedro Pinacho-Davidson

  5. Universidad de Concepción, Concepción, Chile

    Julio Godoy del Campo

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Govender, P., Ezugwu, A.E. (2019). A Symbiotic Organisms Search Algorithm for Blood Assignment Problem. In: Blesa Aguilera, M., Blum, C., Gambini Santos, H., Pinacho-Davidson, P., Godoy del Campo, J. (eds) Hybrid Metaheuristics. HM 2019. Lecture Notes in Computer Science(), vol 11299. Springer, Cham. https://doi.org/10.1007/978-3-030-05983-5_16

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  • DOI: https://doi.org/10.1007/978-3-030-05983-5_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05982-8

  • Online ISBN: 978-3-030-05983-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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