搜索资源列表
SBOGA
- 顺序选择遗传算法，可以求解一维无约束优化问题-The order of selection genetic algorithm can solve the one-dimensional unconstrained optimization problems
NormFitGA
- NormFitGA(动态线性标定适应值的遗传算法求解一维无约束优化问题)-NormFitGA (dynamic linear calibration of genetic algorithm to adapt to the value of one-dimensional unconstrained optimization problems)
One-dimension-search-method-0.618
- 一维优化算法，0.618方法，可实现函数极值的快速搜索，（无约束）。-failed to translate
MMAdapGA
- 遗传算法：用多变异位自适应遗传优化求解一维无约束优化问题-Genetic algorithm: changing ectopic adaptive genetic optimization to solve the one-dimensional unconstrained optimization problem
AdapGA
- 自适应遗传算法求解一维无约束优化问题，matlab程序。-Adaptive genetic algorithm for one-dimensional unconstrained optimization problems, matlab program.
GA
- 各种遗传算法程序 1>myGA(基本遗传算法解决一维约束规划问题) 2>SBOGA(顺序选择遗传算法求解一维无约束优化问题) 3>NormFitGA(动态线性标定适应值的遗传算法求解一维无约束优化问题) 4>GMGA(大变异遗传算法求解一维无约束优化问题) 5>AdapGA(自适应遗传算法求解一维无约束优化问题) 6>DblGEGA(双切点遗传算法求解一维无约束优化问题) 7>MMAdapGA(多变异位自适应遗传算法求解一维无
DblGEGA
- 双切点遗传算法求解来一维无约束优化的问题-Double point genetic algorithm for solving one dimension of unconstrained optimization problems
Unconstrained--extreme-value-problem
- 无约束一维极值问题用来确定求解极小值的搜索空间的算法-Algorithms Unconstrained one dimensional extremum problem solving to determine the minimum value of the search space