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A Survey on Biomimetic and Intelligent Algorithms with Applications.

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This guide explores intelligence algorithms for optimization problems. It details zeroing neural networks (ZNNs) for time-varying issues and classic bio-inspired methods like genetic and particle swarm algorithms.

Keywords:
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Area of Science:

  • Computational intelligence
  • Optimization algorithms
  • Neural networks

Background:

  • Intelligence algorithms are inspired by natural phenomena to solve complex optimization problems.
  • Zeroing Neural Networks (ZNNs) are a specialized class of neural networks designed for dynamic optimization tasks.
  • Bio-inspired algorithms, such as genetic algorithms and particle swarm optimization, offer alternative approaches to problem-solving.

Purpose of the Study:

  • To provide a comprehensive guide for researchers interested in applying intelligence algorithms to optimization problems.
  • To detail the principles, variants, and applications of Zeroing Neural Networks (ZNNs).
  • To outline classic bio-inspired algorithms and their practical uses.

Main Methods:

  • Comprehensive discussion of Zeroing Neural Networks (ZNNs), including their origin, principles, and mechanisms.
  • Introduction of a novel classification method for ZNNs based on performance indices.
  • Overview of Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO), covering their design and applications.

Main Results:

  • ZNNs are presented as effective tools for solving time-varying optimization problems.
  • A new classification scheme enhances the understanding and selection of appropriate ZNN models.
  • Demonstration of the applicability of intelligence algorithms in diverse fields.

Conclusions:

  • Intelligence algorithms, including ZNNs and bio-inspired methods, offer powerful solutions for various optimization challenges.
  • The presented classification method aids in selecting suitable ZNNs for specific problems.
  • The study highlights the broad applicability of these algorithms in scientific and engineering domains.