Comparative Analysis of Linear and Nonlinear Pattern Synthesis of Hemispherical Antenna Array Using Adaptive Evolutionary Techniques

Pseudocode 1

Pseudocode of Adaptive DE Algorithm.

Input Parameters 𝑊 = 𝑤_1,1⋯𝑤_1,𝑁𝑤⋮⋱⋮_𝑃,1⋯𝑤_𝑃,𝑁,𝐹,𝐶𝑅,𝑃=Populationvalue

Output parameter 𝑊_𝑜

Evaluate fitness 𝐹 = fitness(𝑊), 𝐹 = 𝑓₁,…,𝑓_𝑝

For Gen < Genmax

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∣ Mutation Tuned With Adaptive 𝐹

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‖𝑊₁=𝑊(𝑎,∶)+𝐹(𝑊(𝑏,∶)−𝑊(𝑐,∶)), 𝑎,𝑏,𝑐= are random vectors

‖𝐹=[𝐹_𝑙𝑤𝐹_𝑢𝑝]; search limits of the 𝐹

‖𝐹=𝐹_𝑙𝑤+𝑙𝑎𝑚𝑏𝑑𝑎∗𝐹_𝑢𝑝; current 𝐹 value is tuned ‖

∣Cross  Over Tuned With Adaptive CR

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‖ 𝑊_𝑛=𝑊₁𝑟𝑎𝑛𝑑≤𝐶𝑅𝑊otherwise

‖ CR=[CR_𝑙𝑤CR_𝑢𝑝]; search limits of CR

‖ CR=CR_𝑙𝑤+𝑙𝑎𝑚𝑏𝑑𝑎∗CR_𝑢𝑝; current CR value is tuned ‖

∣Evaluate fitness 𝐹_𝑛=fitness(𝑊_𝑛),𝐹 = 𝑓₁,…,𝑓_𝑝

∣ 𝑊_𝑜=𝑊_𝑛𝐹_𝑛<𝐹𝑊otherwise

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