The invention provides a natural enemy
big data inspired two-party confrontation
simulation intelligent deduction method and
system, and the method comprises the steps: collecting the
big data formed by the mutual restriction characteristics of genes of
natural enemies in the biological field and the mutual restriction characteristics of artificial
natural enemies according to the mutual generation and mutual restriction relationship of
biological species; performing data cleaning on the natural enemy
big data, representing a
single entity of the natural enemy big data as a
feature vector individual of the natural enemy, and formally representing the natural enemy big data as a set of the
feature vector individuals; a relation mechanism of natural enemy mutual restriction is simulated, a process and an
algorithm of natural enemy
simulation, variation and mutual restriction are designed according to task requirements and characteristics of a natural enemy target, and individuals communicate and confront with one another; the method comprises the following steps: simulating an iterative process of natural enemy
gene cutting, variation and cross combination, constructing a mechanism of automatic generation of natural enemy
feature vector individuals, confrontation monitoring and regeneration after damage, forming
swarm intelligence of natural enemy confrontation deduction
simulation, promoting minimization of a natural enemy target, and realizing maximization of aggressive power and defensive power of our party.