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This paper explores a comparative performance study of two new classes of particle swarm optimization (PSO) techniques and binary coded genetic algorithm (GA) applied to the optimization of proportional-integral-derivative (PID) gains of PID-controlled automatic voltage regulator (AVR). The two novel swarm optimization techniques are velocity update relaxation particle swarm optimization (VURPSO)...
This paper presents a comparative optimization performance and transient performance studies among three evolutionary computational techniques as genetic algorithm (GA), hybrid particle swarm with constriction factor approach (HPSOCFA) and hybrid Taguchi particle swarm optimization (HTPSO) methods in automatic generation control. For comparative study of performances, the above-mentioned techniques...
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