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Corona virus optimization (CVO): a novel optimization algorithm inspired from the Corona virus pandemic.

Alireza Salehan1, Arash Deldari1

  • 1Department of Computer Engineering, University of Torbat Heydarieh, Torbat Heydarieh, Iran.

The Journal of Supercomputing
|October 11, 2021
PubMed
Summary

A new Corona virus optimization (CVO) algorithm, inspired by pandemic dynamics, offers a feasible and effective approach for solving complex optimization problems. This meta-heuristic method demonstrates credible performance on benchmark functions and applications.

Keywords:
COVID-19Corona virus diseaseCorona virus optimizationMeta-heuristic algorithmsOptimization algorithmsSIR model

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Area of Science:

  • Computational Intelligence
  • Optimization Algorithms
  • Epidemiology Modeling

Background:

  • The COVID-19 pandemic, caused by a novel coronavirus, highlights rapid transmission dynamics.
  • The SIR model describes disease spread, illustrating exponential growth potential.
  • Optimization problems require efficient algorithms for finding solutions.

Purpose of the Study:

  • To introduce a novel meta-heuristic optimization algorithm inspired by the Corona virus pandemic.
  • To develop the Corona virus optimization (CVO) algorithm for addressing discrete and continuous problems.
  • To evaluate the performance and applicability of the CVO algorithm.

Main Methods:

  • Development of the Corona virus optimization (CVO) algorithm based on pandemic characteristics.
  • Performance evaluation using a suite of benchmark functions for discrete and continuous problems.
  • Comparative analysis against established optimization algorithms.

Main Results:

  • The CVO algorithm demonstrated feasible, effective, and applicable performance.
  • Experimental results showed credible and acceptable performance on various mathematical functions and applications.
  • The algorithm successfully found suitable solutions for continuous and discrete application problems.

Conclusions:

  • The proposed Corona virus optimization (CVO) algorithm is a viable new meta-heuristic approach.
  • CVO exhibits competitive and reliable performance in solving optimization tasks.
  • The algorithm's design, inspired by viral spread, proves effective for optimization challenges.