The invention discloses a
solid propellant formula optimization method based on a
genetic algorithm and an energy feature graph. The
solid propellant formula optimization method based on the
genetic algorithm and the energy feature graph includes a first step of modeling, namely, establishing four energy feature calculation models according to a
minimum free energy principle; a second step of setting and storing initial parameters; a third step of utilizing the
genetic algorithm to implement formula optimization design; a fourth step of setting a value range used for graphic plotting and calculating
mass contents of various kinds of
raw material; and a fifth step of drawing the energy feature graph. The drawing process includes the steps of energy
feature parameter inputting, energy feature curvilinear equation fitting, energy feature
graph drawing, and synchronous energy feature graph displaying. The method is simple in step, reasonable in design, convenient to achieve and good in use effect, combines the genetic
algorithm and the energy feature graph to carry out the
solid propellant formula optimization design, and overcomes the defects that the energy feature experimental cost is high, the period is long and the experimental quantity is large and the like in an existing solid propellant formula optimization
design process.