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序列二次规划算法具有强大的非线性处理能力；非常适用于约束优化问题求解.-SQP has strong nonlinear processing capacity ideal for constrained optimization problem solving
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AFSA, containing the adaptive factor, afsa，含有自适应因子，用于含约束优化问题；经过测试，运行效果很好。
-AFSA, containing the adaptive factor, used to contain constrained optimization problem after testing, the effect is very good.
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基于多目标优化和混合进化算法的约束问题优化，IEEE经典Paper的代码-Multiobjective optimization and hybrid evolutionary algorithm to solve constrained optimization problems(IEEE,tran evo com经典paper代码)
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经典IEEEpaper的代码，进化多目标优化算法求解约束优化问题，值得学习-经典IEEEpaperA multiobjective optimization-based evolutionary algorithm for constrained optimization的代码，值得学习
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界约束优化问题是最优化的主要类型，是最优化方向的主要分支-Bounded constrained optimization problem is the main type of optimization, and it is the main branch of the optimization direction.
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The Simulation Code for Solving Constrained Optimization Problems based on Sequential Quadratic Programming (SQP) Method.
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最优化计算方法及其MATLAB程序实现约束优化的罚函数法-Constrained Optimization penalty method
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最强大的matlab程序计算界约束优化问题，欢迎大家下载-The most powerful matlab calculation bound constrained optimization problems, welcome everyone to download
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最强大的matlab计算界约束优化问题,欢迎大家下载-The most powerful matlab calculation bound constrained optimization problems, welcome everyone to download
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有关遗传算法的例子、关于约束优化问题的例程-Examples of genetic algorithm on constrained optimization routines
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STEVE1987年编写的移动渐进法，用于非线性多约束情况下的寻优，可解决多约束多变量的非线性规划问题-for nonlinear constrained optimization multi- case , multi solve constrained nonlinear programming problems multivariate
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约束优化问题，主要包括坐标轮换法，外点罚函数法，混合罚函数法，加速混合罚函数法，梯度投影法，乘子法-Constrained optimization problems, including the method of coordinate rotation, the outer points penalty function method, mixed penalty function method, accelerating hybrid penalty function method, th
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人工免疫算法求解约束优化，MATLAB，结合GA，可参考-Artificial immune algorithm for solving constrained optimization, MATLAB, combined with GA, refer to
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基于R语言开发的针对计算耗时的约束优化问题的优化算法。-Performs constrained optimization for expensive black-box problems.
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利用外点法惩罚函数法求解简单的约束优化问题。可以运行-Outer point penalty function method is used to solve simple constrained optimization problems.
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多目标约束优化程序 基于PSO算法 解决rosenbanana极小值问题-Multi objective constrained optimization program based on PSO algorithm to solve the rosenbanana minimum problem
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A new metaheuristic optimization algorithm, called Cuckoo Search (CS), is fully implemented, and the vectorized version is given here. This code demonstrates how CS works for unconstrained optimization, which can easily be extended to solve various g
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用学习因子同步变化的粒子群优化算法求解无约束优化问题-Changes in synchronization with the learning factor PSO algorithm for solving constrained optimization problems
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用基于选择的粒子群优化算法求解无约束优化问题-With selection based on PSO algorithm for solving constrained optimization problems
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用学习因子同步变化的粒子群优化算法求解无约束优化问题-Changes in synchronization with the learning factor PSO algorithm for solving constrained optimization problems
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