过程综合的全局优化改进遗传算法

针对过程系统综合和蒸汽动力系统优化的复杂非线性规划问题，提出了改进和连续化全局优化的遗传算法，算例表明，该方法用于求解复杂优化问题是非常有效的，而且具有获得全局最优解的能力。

Study of improved and continuous genetic algorithms for process system global optimization

The paper introduces new methods of global optimization, an improved coding genetic algorithm and continuous genetic algorithm, which can be used for complicated optimal design of process systems. For the coding genetic algorithm, it presents improved measures including suitable coding skills, penalty function for constraints, ways of fitness regulation and genetic operators actions. For the continuous genetic algorithm, it presents continuous crossover and mutation operators. Numerical examples show that the improved genetic algorithms have the capability of reaching (or approaching) the global optimum for nonconvex, multi peak, nonlinear and discrete programming models.