Because of the difficulty and precision of calculation, the size of AOIs and geometric constraints are usually not considered in the process of solving the layout, which leads to the theoretical layout results and cannot achieve the real practical purpose. The work aims to propose a method integrating heuristic algorithm, multiple attribute decision making (MADM) and integer linear programming (ILP), so as to improve the availability of interface layout optimization method to generate layout scheme. At first, under the condition that the data such as the correlation between AOIs, the use frequency and the size of the area of AOIs were obtained, a set of alternative layout schemes were generated with genetic algorithm (GA) by changing that parameters of the geometric constraint of AOIs. Secondly, the interaction cost, time of GA optimization, effectiveness, efficiency and satisfaction were taken as the five criteria to evaluate the interface layout, and all the alternative layout schemes were ranked according to multiple attribute decision making such as TOPSIS, AHP and Data Envelopment Analysis (DEA). Then, the ILP method was used to obtain consistent ranking. Thus, an effective and highly available layout scheme was obtained. According to the experimental results, it can be found that compared with the original scheme, the optimal layout scheme can effectively reduce the interaction cost and algorithm optimization time, and improve the availability of the layout scheme.