The invention provides a loop antenna array spare method based on a multi-objective quantum spider population evolution mechanism. The method comprises the following steps that: establishing a loop antenna array spare model, setting a proper system parameter, and initializing the quantum position and the [0,1] coding position of each spider in a population in a solution space; designing a multi-objective fitness function; calculating the weight of each spider in the population, and dividing the gender of the spiders according to the weight; according to the initial population, generating an initial elite solution set; selecting a global optimal solution and a suboptimum solution from the elite solution set; then, independently updating the quantum positions of the female spider and the male spider, and converting the quantum position into the [0,1] coding position through a measurement way; updating the elite solution set, and updating the weights of all spiders in the population; finally, judging whether a maximum iteration number is achieved or not is judged, and outputting the elite solution set if the maximum iteration number is achieved; and otherwise, returning to carry out iteration. By use of the method, a problem that high-dimension discrete multi-objectives are subjected to spare construction by a multi-objective loop antenna array is solved.