A Global Optimization Bionics Algorithm for Solving Integer Programming - Plant Growth Simulation Algorithm
求解整数规划的一种仿生类全局优化算法——模拟植物生长算法

Plant growth simulation algorithm aiming at the global optimization of integer programming is a kind of bionics random algorithm which occurs in nature. Characterizing plant phototropism, the algorithm looks the feasible region of integer programming as plant growth environment, and determines the growth probability on different growth points according to the changes of the object function. It then makes power model simulating plant rapid growth towards the light(global optimization). The algorithm proposed here is finally demostrated with satisfactory solution by solving nonliner integer programming problems with non-restriction and restriction.