Proper Power generation piezoelectric vibrations have been proven to be an attractive technology for harvesting small magnitudes of energy from ambient vibrations. In recent years, energy harvesting to obtain electrical energy from the energy that exists around the body (energy harvesting) technology is attracting attention. This work investigates the optimization of a micro piezoelectric cantilever system using a genetic algorithm based approach with numerical simulations. The genetic algorithm globally considers the effects of each parameter to produce an optimal frequency response to scavenge more energy from the real vibrations while the conventional sinusoidal based method can only optimize the resistive load for a given resonant frequency. Focus on the method of using the electrostatic induction which gives high conversion efficiency. Step by step manufacturing process slider chip discussed. Research toward an independence operation of the fabrication mechanical sensor network terminal and introduces the micro vibration power generation technology has been developed. Experimental acceleration data from the vibrations cover demonstrates that the optimized harvester automatically selects the right frequency and also synchronously optimizes the damper and the resistive load beneficial in contributing a performance wise for output energy. This method shows great potential for optimizing the energy harvesting systems with real vibration data.