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- W2183080533 abstract "Balanced combination of global search using Genetic Algorithm (GA) and local search using Particle Swarm Optimization (PSO) motivates the incorporation of hybrid computational intelligence techniques into the Layer Encoding Evolutionary Cascade Optimization (LECO) model. A different layer encoding structure of multiresolution is presented as the external layer to execute GA operations for integer value individuals, whereas PSO operations are performed for real-valued individuals as candidate solutions. A case study that involves single stage amplifier circuit design is conducted to evaluate the effectiveness of the GA-PSO LECO model. It is observed that the GA-PSO LECO model outperforms other APLAC built-in optimizers in minimizing S(1,1) and S(2,2) while maximizing dB[S(2,1)] to 15.213 dB for single stage amplifier circuit." @default.
- W2183080533 created "2016-06-24" @default.
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- W2183080533 date "2014-01-01" @default.
- W2183080533 modified "2023-09-27" @default.
- W2183080533 title "Application of Layered Encoding Cascade Optimization Model to Optimize Single Stage Amplifier Circuit Design" @default.
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