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Steps in Outbreak Investigation01:18

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An improved immune plasma algorithm with a regional pandemic restriction.

Selcuk Aslan1, Sercan Demirci2

  • 1Department of Aeronautical Engineering, Erciyes University, Kayseri, Turkey.

Signal, Image and Video Processing
|March 9, 2022
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Summary

A new regional immune plasma algorithm (rIPA) enhances pandemic management by modeling movement restrictions. This novel approach improves meta-heuristic optimization, outperforming existing methods in benchmark and real-world big data problems.

Keywords:
IPAMeta-heuristicsNoise filteringRegional restriction

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Area of Science:

  • Computational biology
  • Epidemiology
  • Artificial intelligence

Background:

  • The COVID-19 pandemic spurred research into medical treatments like immune plasma therapy.
  • The Immune Plasma Algorithm (IPA) was recently developed, inspired by immune plasma treatment steps.
  • Existing meta-heuristics require adaptation for complex, real-world optimization challenges.

Purpose of the Study:

  • To introduce a novel meta-heuristic algorithm, regional IPA (rIPA), for pandemic management.
  • To integrate a regional movement restriction strategy into the IPA framework.
  • To evaluate the performance of rIPA against established meta-heuristics.

Main Methods:

  • Modeled a pandemic management strategy incorporating regional movement limitations.
  • Integrated this strategy into the Immune Plasma Algorithm to create the regional IPA (rIPA).
  • Tested rIPA on twelve numerical benchmark problems and a big data optimization task (EEG signal noise minimization).

Main Results:

  • The regional model significantly enhanced the capabilities of the IPA.
  • rIPA demonstrated superior performance compared to fourteen well-known and state-of-the-art meta-heuristics across most test cases.
  • The study confirmed the effectiveness of managing population interactions within a regional framework.

Conclusions:

  • The proposed regional IPA (rIPA) offers a powerful new tool for pandemic management and optimization.
  • Managing inter-regional population dynamics is crucial for improving meta-heuristic performance.
  • rIPA shows significant potential for solving complex optimization problems, including those in biomedical signal processing.