The invention relates to the technical field of urban solid waste incinerator optimal control, in particular to an automatic combustion optimized decision method for the waste incineration process. Bymeans of the optimized decision of key manipulated variables (feeder speed and fire grate speed), an automatic combustion system operates within an ideal range, and the method mainly comprises the following steps that (1) a decision case library is set up according to historical data of the incineration process; (2) a training pattern pool is constructed; (3) a stochastic allocation network is trained according to a study type pseudometric measuring criterion, and therefore a stochastic allocation network retrieval model is obtained; (4) a target case is input into the stochastic allocation network retrieval model, and K similar case solutions are obtained; (5) the average value of the K similar case solutions is obtained through case reusing, and therefore the decision value of a targetcase solution (feeder speed and fire grate speed) is obtained and output to an incineration process control system; and (6) the fourth step and the fifth step are repeated to achieve the automatic combustion real-time optimized decision process of the incineration process.