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- .用遗传算法优化来求解无约束优化问题用粒子群算法优化来求解无约束优化问题-Using genetic algorithm optimization to solve unconstrained optimization problems with particle swarm optimization for solving unconstrained optimization problems
zuozuofuhexing
- 求解最优化问题的一种算法。该法较为适合解决有约束优化问题。-An algorithm of solving optimization problems. The method is more suitable for solving constrained optimization problems.
PSOGA
- 求解多维无约束优化问题,收敛性强，还可以加入变异算子-Multidimensional problem solving unconstrained optimization, convergence and strong, you can also join the mutation operator
PSO
- MATLAB高级优化算法之基本粒子群算法(PSO 求解无约束优化问题) -MATLAB advanced optimization algorithm of PSO (PSO solving unconstrained optimization problems)
MMAdapGA
- MATLAB高级优化算法--多变异位自适应遗传算法(MMAdapGA，求解一维无约束优化问题)-MATLAB advanced optimization algorithms- changeable ectopic adaptive genetic algorithm (MMAdapGA, solving one-dimensional unconstrained optimization problems)
NormFitGA
- MATLAB高级优化算法--动态线性标定适应值的遗传算法(NormFitGA，求解一维无约束优化问题)-MATLAB advanced optimization algorithms- genetic algorithms to adapt to dynamic linear calibration values (NormFitGA, solving one-dimensional unconstraine
ga
- 本程序是作者在科研项目中，编写并亲测。该程序用来求解无约束单目标优化问题。对于约束优化问题，可做相应的修改，即可使用。-Genetic Algorithm coded in Matlab. We used the program to solve the unconstrained optimization problems.
sa
- 这是本人在做项目时编写的一个模拟退火算法。利用该算法可以求解无约束优化问题。对于约束优化问题，可做相应的修改，即可使用。-The Simulated Annealing program is coded in Matlab. You can use the program to solve the unconstrained optimization program.
pso
- 本程序是本人在做项目中，编写的并亲测。该程序是利用粒子群算法求解无约束优化问题。对于约束优化问题，则可以根据具体问题作相应的修改，即可使用。-Particle Swarm Optimization is coded in Matlab.
myGA
- 这个源代码是关于基本遗传算法求解一维无约束优化问题的代码-This source code is on a one-dimensional basic genetic algorithm code for unconstrained optimization problems
Trust-Region-program
- 用matlab实现了信赖域算法，主要用于无约束优化问题的求解-Using matlab to achieve the trust region algorithm, mainly used for solving unconstrained optimization problems
sfminbx
- 求解约束优化问题的极小值问题，在给定区间内求函数的最优值-Minimum problem solving constrained optimization problems, in the optimal value within a given interval demand function
PSO
- 各种粒子群或改进型粒子群算法 1）粒子群优化算法(求解无约束优化问题) 1>PSO(基本粒子群算法) 2>YSPSO(待压缩因子的粒子群算法) 3>LinWPSO(线性递减权重粒子群优化算法) 4>SAPSO(自适应权重粒子群优化算法) 5>RandWSPO(随机权重粒子群优化算法) 6>LnCPSO(同步变化的学习因子) 7>AsyLnCPSO(异步变化的学习因
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)
ConstrainedOptimizationProblem
- 约束优化问题： minRosen(Rosen梯度法求解约束多维函数的极值)(算法还有bug) minPF(外点罚函数法解线性等式约束) minGeneralPF(外点罚函数法解一般等式约束) minNF(内点罚函数法) minMixFun(混合罚函数法) minJSMixFun(混合罚函数加速法) minFactor(乘子法) minconPS(坐标轮换法)(算法还有bug) minconSimpSe
multphr
- 用乘子法求解一般约束优化问题的最小值和最小值点-Solving General Constrained optimization problems using multiplier method minimum and minimum point
sqpm
- 用基于拉格朗日函数Hesse矩阵的SQP方法求解约束优化问题-Based on Lagrangian with SQP Hesse matrix method for solving constrained optimization problems
trustm
- 牛顿型信赖域方法求解无约束优化问题的最小值和最小值点-Newton type trust region method for unconstrained optimization problems minimum and minimum point
Solution-of-CR-power-control-by-AFSA
- 人工鱼群算法主函数,主要用于求解约束优化问题。-The main program of AFSA
frcg
- FR共轭梯度法求解无约束优化问题，其中一维搜索用Armijo搜索。-Fletcher-Reeves method for optimization