遗传算法在非线性规划中的应用
Genetic Algorithms in The Application of Nonlinear Programming
非线性规划是在存在等式或不等式约束的前提下最优化某个目标函数问题。由于许多实际问题不能成功地表达为线性规划模型，因此针对非线性规划中优化算法存在求解计算量大的困难，本文应用遗传算法解决非线性规划问题。
Nonlinear Programming in the equation or inequality constraints exist under the premise of a certain optimization objective function problem. Since many practical problems can not be successfully expressed as linear programming model, targeting non-linear programming optimization algorithm in the presence of a large quantity of solving the difficulties, the paper applied genetic algorithms solve nonlinear programming problem.
王皓、雷蕾
数学
遗传算法，非线性规划，约束优化
Genetic algorithm Nonlinear programming Constrained optimization
王皓,雷蕾.遗传算法在非线性规划中的应用[EB/OL].(2007-11-21)[2025-08-03].http://www.paper.edu.cn/releasepaper/content/200711-413.点此复制
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