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الگوریتم بهینه‌سازی کرکس‌های آفریقایی×الگوریتم کپک بلغمی×
حوزهبهینه‌سازیبهینه‌سازی
خانوادهMachine learningMachine learning
سال پیدایش20202020
پدیدآورHossein MoghdaniShimin Li
نوعNature-inspired metaheuristic algorithmNature-inspired metaheuristic algorithm
منبع بنیادینMoghdani, H., & Salimifard, K. (2020). Volleyball player optimizer and African vultures optimization algorithms for solving global optimization problems. Applied Soft Computing, 97, 106794. link ↗Li, S., Chen, H., Wang, M., Heidari, A. A., & Chakraborty, S. (2020). Slime mould algorithm: A new method for stochastic optimization. Future Generation Computer Systems, 111, 300-323. DOI ↗
نام‌های دیگرAVOASMA
مرتبط45
خلاصهThe African Vultures Optimization Algorithm (AVOA) is a metaheuristic algorithm introduced by Moghdani and Salimifard in 2020, inspired by the search and scavenging behavior of African vultures. Vultures employ sophisticated collaborative strategies to locate carrion across vast distances, using thermal air currents and group dynamics to navigate efficiently. AVOA translates these collective hunting behaviors into an effective optimization framework.The Slime Mould Algorithm (SMA) is a nature-inspired metaheuristic optimization technique introduced by Li et al. in 2020. It mimics the behavior of slime moulds, which spread and contract to find optimal food sources. SMA addresses complex optimization problems by simulating the adaptive foraging and spatial distribution patterns of these organisms.
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ScholarGateمقایسهٔ روش‌ها: African Vultures Optimization Algorithm · Slime Mould Algorithm. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare