A new approach for solving geometric constraint based on Election-Survey Algorithm

Aimed at the widespread practical significance of solving geometric constraint problems in engineering, classic numerical methods are highly sensitive to the initial guess, but it is difficult to find a suitable good initial guess in practical operation. So the problem of solving geometric constraint is transformed to the problem of function optimization, and then, Election-Survey Optimization Algorithm is introduced to achieve the optimal result for the problem. The experimental results of solving two instructive examples show that Election-Survey Optimization Algorithm has higher convergence speed and more precise solution, and it is a feasible and effective approach in solving geometric constraint problems.