With the emergence and development of e-commerce, AIGC advertising has emerged, and optimizing AIGC advertising placement has become one of the primary concerns for businesses. Given the numerous factors influencing AIGC advertising placement strategies, this study proposes a research framework for AIGC advertising placement strategies based on a multi-objective locust optimization algorithm. First, based on actual conditions, the objective function, constraints, and fitness are set. Then, through computational solutions, the optimal solution for AIGC advertising placement strategies is obtained. To validate the reliability of this scheme, numerical simulation analysis is conducted using MATLAB software in an experimental simulation environment. Under the influence of the test function, it is concluded that the algorithm exhibits excellent stability and convergence, ensuring the rigor of subsequent research results. Through algorithm performance simulation analysis, the optimal dissemination efficiency and advertising costs of the AIGC advertising strategy were obtained, with values of 3,984 and 9,783 yuan, respectively, maximizing the benefits of the AIGC advertising strategy. This also validated the practical application effectiveness of the multi-objective locust optimization algorithm in AIGC advertising strategy.
