The traditional camouflage pattern design is too single, and mostly depends on the designer's experiences, as a result, the camouflage performance is not satisfied in war field. Thus, a novel bionic camouflage pattern design method by genetic evolutionary algorithm is proposed in this work. The comprehensive parameter model is obtained according to the principle of human visual reconnaissance and photoelectric imaging reconnaissance. The camouflage pattern is processed by fine selection, crossbreeding and variancebreeding based on zebra stripes camouflage pattern. The proposed bionic camouflage pattern can counter imaging reconnaissance to improve the traditional camouflage pattern design. The comparative experiments by several camouflage methods indicate that the proposed method can reduce detection and recognition feature of target superior to the others traditional camouflage patterns. Comprehensive feature parameter is reduced by more than 23% of initial value, which is better than other traditional camouflage patterns. An integrated model of reconnaissance, genetic evolutionary and camouflage theory is achieved in the proposed method, which provides a novel approach for scientific and felicitous camouflage pattern design.