In the evolutionary algorithm with constrained multi-objective problems, the selection strategy of constraineddominate proposed by Professor Deb is widely used. The excellent infeasible solution is equally important as the feasible solution in the constraint treatment method. The infeasible solution has a small chance of winning in the selection strategy of constrained-dominate. Therefore, a differential evolution algorithm based on the environment pareto dominated selection strategy in the constrained multi-objective optimization problem is proposed. Benchmark functions are simulated, and the results show that, compared with other algorithms, the proposed algorithm has better convergence and stability.