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Parrot optimizer: Algorithm and applications to medical problems.

Junbo Lian1, Guohua Hui1, Ling Ma1

  • 1College of Mathematics and Computer Sciences, Zhejiang A & F University, Hangzhou, 311300, PR China; Key Laboratory of Forestry Sensing Technology and Intelligent Equipment of Department of Forestry, Zhejiang A & F University, Hangzhou, 311300, PR China; Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Hangzhou, 311300, PR China.

Computers in Biology and Medicine
|March 7, 2024
PubMed
Summary
This summary is machine-generated.

A new Parrot Optimizer (PO) effectively solves complex problems by mimicking parrot behaviors. This novel stochastic optimization method shows competitive advantages in exploration and exploitation for engineering and medical applications.

Keywords:
Genetic algorithmMedical problemMetaheuristicOptimizationParrot optimizerSwarm optimization

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Area of Science:

  • Computational intelligence
  • Metaheuristic optimization
  • Bio-inspired algorithms

Background:

  • Stochastic optimization is crucial for complex research challenges.
  • Existing methods require enhanced exploration and exploitation capabilities.

Purpose of the Study:

  • Introduce the Parrot Optimizer (PO), a novel bio-inspired algorithm.
  • Evaluate PO's performance against established algorithms on diverse benchmark functions.
  • Assess PO's applicability to engineering and medical domains.

Main Methods:

  • Developed the Parrot Optimizer (PO) based on Pyrrhura Molinae parrot behaviors.
  • Benchmarked PO on 35 functions, including IEEE CEC 2022 test sets.
  • Conducted parameter sensitivity analysis and applied PO to engineering and medical problems.

Main Results:

  • PO demonstrated competitive exploratory and exploitative traits.
  • PO outperformed several popular algorithms in benchmark tests.
  • PO proved effective and superior in engineering design, disease diagnosis, and medical image segmentation.

Conclusions:

  • The Parrot Optimizer (PO) is a promising and competitive stochastic optimization algorithm.
  • PO offers significant advantages over existing methods in various applications.
  • Open-source code and supplementary materials are available for the PO algorithm.