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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.
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.
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.
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