Abstract: In this paper the problem on numerical solution of nonliner equations is transformed into that of optimization with linear constraints,and then that solution is found through the genetic algorithm. we also revise genetic algorithm into self-adaptive parallel genetic algorithm to prevent premature convergence. Numerical simulation experiments show our algorithm offers an effective way to solve the nonlinear equations from another viewpoint.

Key words: optimization with linear constraints, parallel genetic algorithm, premature convergence, nonliner equations, optimization with linear constraints, parallel genetic algorithm, premature convergence