African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems
By Benyamin Abdollahzadeh, Farhad Soleimanian Gharehchopogh, Seyedali Mirjalili. Computers & industrial engineering, 2021
1,227 citations recorded by the source corpus.
Abstract Metaheuristics play a crucial role in solving optimization problems. The majority of such algorithms are inspired by collective intelligence and foraging of creatures in nature. In this paper, a new metaheuristic is proposed inspired by African vultures' lifestyles. The algorithm is named African Vultures Optimization Algorithm (AVOA) and simulates African vultures’ foraging and navigation behaviors. To evaluate the performance of AVOA, it is first tested on 36 standard benchmark functions. A comparative study is conducted that demonstrates the superiority of the proposed algorithm compared to several existing algorithms. To showcase the applicability of the AVOA and its black box nature, it is employed to find optimal solutions for eleven engineering design problems. Various experiments show that the AVOA performs better than the comparative algorithms in most engineering case studies. As the experiment results, the AVOA algorithm in 30 benchmarks out of 36 benchmarks has achieved better results than the optimizer algorithms and has a significant and better performance on the majority of engineering problems. Wilcoxon rank-sum test has been used for statistical evaluation and indicates the significant superiority of the AVOA algorithm at a 95% confidence interval.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/835360363490c87f69f65963af0adcbc554b14e9
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In Artificial Intelligence
- Mohammad Namazi
- Laya Ebrahimi
- Benyamin Abdollahzadeh
- Kusum Deep
- Kanchan Rajwar
- Swagatam Das
- Farhad Soleimanian Gharehchopogh
- Ponnuthurai Nagaratnam Suganthan
In Computational Theory and Mathematics
- Mohammad Namazi
- Laya Ebrahimi
- Benyamin Abdollahzadeh
- Kusum Deep
- Kanchan Rajwar
- Swagatam Das
- Farhad Soleimanian Gharehchopogh
- Ponnuthurai Nagaratnam Suganthan
Citations in the corpus
- Advances in Sparrow Search Algorithm: A Comprehensive Survey (2022, methodology): “Examples include Farmland Fertility Algorithm [14], African Vultures Optimization Algorithm (AVOA) [15], Starling murmuration optimizer [16], Sparrow Search Algorıthm [17], and Artificial Gorilla Troops Optimizer [18].”
- Zebra Optimization Algorithm: A New Bio-inspired Optimization Algorithm for Solving Optimization Algorithm (2022, neutral): “African Vultures Optimization Algorithm (AVOA) [29] 2021”
- An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges (2023, methodology): “(2015) 4 African Vultures Optimization Algorithm (AVOA) Abdollahzadeh et al. (2021a) 5 African Wild Dog Algorithm (AWDA) Subramanian et al. (2013) 6 Algorithm of the Innovative Gunner (AIG) Pijarski and Kacejko (2019) 7 Ali Baba and the Forty Thieves Optimization (AFT) Braik et al.”