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In order to improve the coverage performance,an improved genetic algorithm was applied to coverage optimization of hybrid wireless sensor networks (WSNs).Coverage performance can be improved by changing location of mobile nodes. Traditional intelligence algorithm is liable to fall into the trap of premature and its largest number of iterations is difficult to determine. An improved genetic algorithm is proposed to fill the gaps. Multiple populations can be connected with others by immigration operator. Optimal individual of each population in every generation can be selected by artificial selection operator and recorded by essence of population. A new stopping criterion for iteration is presented according to the recorded information. Simulation shows that our improved genetic algorithm needn't set maximum number of iterations ,has fast convergence rate, and effectively improves coverage performance of WSNs.