Research Article
[Retracted] Wireless Radio Frequency Automation of Intelligent Optical Fiber Transmission System Based on the Differential Evolution Method
| Input: population: M; crossed factor: D; number of iterations T | | t ⟵ 1 | | for i∼1 to M do | | for j = 1 to D do | | ; | | end | | end | | while(|f(Δ)| > ε) or (t ≤ T)do | | for i = 1 to M do | | (Mutation and Crossover) | | for j = 1 to D do | | =Mutation(); | | =Crossover; | | end | | (Selection) | | if then | | if then | | ; | | if then | | ; | | end | | else | | ; | | end | | end | | t = t + 1 | | end | | return the best Δ |
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