.png){kind=icon}
返回
A Comprehensive Survey on African Vulture Optimization Algorithm
.png){kind=icon}
PRE
AI
DOI：10.1007/s11831-023-10034-x.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
African Vulture Optimization Algorithm (AVOA) is a nature-inspired optimization technique that draws its inspiration from the behaviours and foraging patterns of African vultures. Vultures are known for their exceptional scavenging abilities and their keen sense of locating carrion from vast distances. The AVOA algorithm aims to mimic these traits to solve complex optimization problems. Since its introduction by Abdollahzadeh et al. in 2021, AVOA has attracted a lot of attention from the researchers and has been extensively used to solve several optimization problems in a wide range of fields. This is because it outperforms other popular optimization algorithms in terms of execution time, convergence rate, and effectiveness. As a result, this study's goal is to present an up-to-date survey of this topic. This study encompasses the algorithm's evolution, modifications, and hybridizations with other techniques, showcasing its adaptability and potential for synergy. Furthermore, this study highlights the real-world applications of AVOA across diverse domains, showcasing its adaptability and effectiveness in solving complex problems. As nature-inspired optimization techniques gain impact for solving complex optimization problems, this study provides a valuable resource for researchers to acquire a comprehensive understanding of the AVOA, its evolution, and its potential applications in tackling complex optimization issues across various fields.
Keyword:
CHEMICAL-REACTION OPTIMIZATION
META-HEURISTIC OPTIMIZATION
SWARM INTELLIGENCE
POWER-SYSTEMS
DESIGN
EXTRACTION
期刊
IF:
12.1
论文数:
1.8K
被引数:
1.2W
机构
引用论文
Kinematic and kinetic differences in the execution of vertical jumps between people with good and poor ankle joint dorsiflexion踝关节背屈良好和不良的人在执行垂直跳跃时的运动学和动力学差异
PREAI
分享收藏Growth and Development of the Native Ruellia caroliniensis and Invasive Ruellia tweediana.png)
HortScience
OAAI
HortScienceIF0
OAAI分享收藏分享收藏分享收藏Multi-objective cluster head using self-attention based progressive generative adversarial network for secured data aggregationAD HOC NETWORKS
AD HOC NETWORKSIF4.8
PREAI
分享收藏
查看更多内容