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蚁狮优化算法研究综述

胡城 蔡延光 黄嘉铖 曾庆丰

自动化与信息工程2024,Vol.45Issue(3):1-10,15,11.
自动化与信息工程2024,Vol.45Issue(3):1-10,15,11.DOI:10.3969/j.issn.1674-2605.2024.03.001

蚁狮优化算法研究综述

A Review of Ant Lion Optimization Algorithms Research

胡城 1蔡延光 1黄嘉铖 1曾庆丰1

作者信息

  • 1. 广东工业大学自动化学院,广东 广州 510006
  • 折叠

摘要

Abstract

The ant lion optimization(ALO)algorithm is a novel metaheuristic algorithm proposed by simulating the hunting mechanism of ant lions in nature.It is widely used in various optimization problems and has the characteristics of strong global optimization ability,high convergence accuracy,and easy implementation.Firstly,briefly describe the principle and process of ALO algorithm;Then,elaborate on the various variants of the ALO algorithm;Next,introduce the applications of ALO algorithm in engineering design,artificial intelligence,computer science,power system optimization,control systems,and other fields;Finally,summarize the ALO algorithm and propose suggestions and possible future research directions.

关键词

蚁狮优化算法/元启发式算法/综述

Key words

ant lion optimization algorithm/metaheuristic algorithm/summarize

分类

信息技术与安全科学

引用本文复制引用

胡城,蔡延光,黄嘉铖,曾庆丰..蚁狮优化算法研究综述[J].自动化与信息工程,2024,45(3):1-10,15,11.

基金项目

广东省科技计划项目(2016A050502060,2020B1010010005) (2016A050502060,2020B1010010005)

广州市科技计划项目(202206010011,2023B03J1339). (202206010011,2023B03J1339)

自动化与信息工程

1674-2605

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