A Novel Hybrid PSO-DA Algorithm for Global Numerical Optimization

Recent trend of research is to hybridize two and more algorithms to obtain superior solution in the field of optimization problems. In this context, a new technique hybrid Particle Swarm Optimization (PSO)-Dragonfly Algorithm (DA) is exercised on some unconstraint benchmark test functions and overcurrent relay co-ordination optimization problems in contrast to test results on constrained/complex design problem. Hybrid PSO-DA is combination of PSO used for exploitation phase and DA for exploration phase in uncertain environment. Position and Velocity of particle is updated according to position of dragonflies in each iteration. Analysis of competitive results obtained from PSO-DA validates its effectiveness compare to standard PSO and DA algorithm separately.