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A Comprehensive Survey on Arithmetic Optimization Algorithm.

Krishna Gopal Dhal1, Buddhadev Sasmal1, Arunita Das1

  • 1Department of Computer Science and Application, Midnapore College (Autonomous), Paschim Medinipur, Midnapore, West Bengal India.

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Summary
This summary is machine-generated.

The Arithmetic Optimization Algorithm (AOA), a novel nature-inspired method, leverages mathematical operators for superior optimization. This survey details AOA, its variations, and applications in various fields.

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Area of Science:

  • Computational Intelligence
  • Optimization Algorithms
  • Nature-Inspired Computing

Background:

  • The Arithmetic Optimization Algorithm (AOA) is a recent population-based nature-inspired optimization algorithm (NIOA).
  • AOA is inspired by the distribution of arithmetic operators, classifying it as a mathematics-inspired optimization algorithm (MIOA).
  • MIOA is a powerful subset of NIOA, with AOA being a notable member.

Purpose of the Study:

  • To provide a comprehensive and up-to-date survey of the Arithmetic Optimization Algorithm (AOA).
  • To explore the various modifications and enhancements (variants) of the AOA.
  • To document the diverse applications where AOA has been successfully implemented.

Main Methods:

  • Literature review of AOA and its related works.
  • Categorization and analysis of AOA variants.
  • Compilation and summary of AOA applications across different domains.

Main Results:

  • AOA has gained significant recognition since its publication in early 2021.
  • The algorithm demonstrates superior efficacy in various optimization problems.
  • A wide range of AOA variants and applications have emerged.

Conclusions:

  • AOA is a proficient and effective mathematics-inspired optimization algorithm.
  • The ongoing research into AOA variants and applications highlights its potential.
  • This survey serves as a valuable resource for researchers interested in AOA.