平面连杆变幅机构轨迹综合遗传退火优化算法的研究

Study of Synthetical Genetics Annealing Optimization for the Luffing Mechanism Locus of A Plane Link

摘要: 基于遗传和模拟退火两种算法的优点,提出了一种遗传退火耦合算法,并将该算法用于平面连杆变幅机构的轨迹优化.数值实验表明,该算法具有群体搜索、在有限遗传代数内以较大概率搜索到全局最优解等特点.同时,在求解连杆曲线非线性方程组中引入同伦算法,使算法具有大范围收敛性,从而保证了优化过程的稳定收敛.

Abstract: he coupling algorithm of genetics annealing has the characteristic of colony search and there is more probability to find the global optimal result in finite generation.At the same time,homotopy algorithm is applied in the solution of non-linear equation of plane link curve,it enlarges the convergence range of optimization process steadily.