摘要
从大自然植物生长中得到启发,提出了一种求解非线性整数规划全局最小解的仿生算法。该算法将植物生长过程及生长模式应用到非线性整数规划问题的求解,能够快速得到最优解。通过对各种不同类型非线性整数规划问题的具体求解,表明了该方法十分有效。
Be inspired from natural plant growth,this paper proposes a bionic algorithm for solving the global optimization of nonlinear integer programming.By simulating the process of plant growth and growth mode,the algorithm can rapidly access to the optimal solution.The process which solved varies types of nonlinear integer programming shows that the algorithm is very effective.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第7期57-59,68,共4页
Computer Engineering and Applications
关键词
净生长力
整数规划
模拟植物生长
蒙特卡洛法
net growth forces
integer programming
simulation of plant growth
Monte Carlo method
