الأمثلية
خوارزمية أمثلة الأعشاب الضارة IWO
خوارزمية أمثلة الØوت WOA
ذكاء الأسراب
الخوارزميات الهجينة.
Optimization
Invasive Weed Optimization algorithm (IWO)
Whale Optimization Algorithm (WOA)
Swarm intelligence
Hybrid Algorithms.
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Abstract
In this work, two algorithms of Metaheuristic algorithms were hybridized. The first is Invasive Weed Optimization algorithm (IWO) it is a numerical stochastic optimization algorithm and the second is Whale Optimization Algorithm (WOA) it is an algorithm based on the intelligence of swarms and community intelligence. Invasive Weed Optimization Algorithm (IWO) is an algorithm inspired by nature and specifically from the colonizing weeds behavior of weeds, first proposed in 2006 by Mehrabian and Lucas. Due to their strength and adaptability, weeds pose a serious threat to cultivated plants, making them a threat to the cultivation process. The behavior of these weeds has been simulated and used in Invas
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