An Opposition based Harmony Search Approach for Performance Improvement in Linear FIR Filter Design

In this paper, Improved opposition based harmony in linear phase of optimal design filters are used. In research optimization of RGA (real code GA), DE (Differential Evolution) and PSO (Particle Swarm Optimization). The Steps used are initialization randomly generated population of solutions, opposite solutions are also obtained and one is selected as a priori guess. In proposed OHS optimization method by multiplying with randomly generated variable, mean of Harmonic search and opposition based harmonics vector are used. Initialize harmony memory, each solution of harmony memory passes through memory consideration rule, pitch adjustment rule, opposition-based re-initialization generation jumping and then mean of actual solution and opposition-based solution are used, which gives the optimum result corresponding to the least error fitness in multidimensional search space of FIR filter design. Incorporation of different control parameters in the basic HS algorithm results in the balancing of exploration and exploitation of search space. Low pass, high pass, band pass, and band stop FIR filters are designed with the proposed OHS and other aforesaid algorithms individually for comparative optimization performance. A comparison of simulation results reveals the optimization effectiveness of the Proposed (Improved-OHS) over the other optimization techniques for the solution of the multimodal, non differentiable, nonlinear, and constrained FIR filter design problems.