A hybrid of genetic algorithm and particle swarm optimization for recurrent network design
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A hybrid genetic algorithm and bacterial foraging approach for global optimization
Information Sciences: an International Journal
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This paper deals with applying Euclidian data distance based GA-PSO (Genetic-Particle Swarm Optimization) algorithm (EU-GA-PSO) to PID controller tuning of AVR (Automatic Voltage Regulator). Through this approach, global and local optimal solution can simultaneously achieved for tuning of controller parameter.