遗传算法在非线性规划中的应用
HE APPLICATION OF GENETIC ALGORITHM
针对非线性规划中优化算法存在求解计算量大的困难，提出一种利用遗传算法启发式算法来解决非线性规划的方法。对比表明，遗传算法具有很高的收敛速度。
One method named elicitation genetic algorithm is proposed in this paper to overcome the problem of numbers of computing complexity in nonlinear programming problem. As a result, the higher convergence speed is shown to us, which is better than other algorithm.
袁健、张文霞、隋树林
计算技术、计算机技术
非线性规划，约束优化，遗传算法
nonlinear programming，constrained optimizations，genetic algorithm
袁健,张文霞,隋树林.遗传算法在非线性规划中的应用[EB/OL].(2006-01-04)[2025-08-03].http://www.paper.edu.cn/releasepaper/content/200601-22.点此复制
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