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模拟退火算法在贷款组合优化决策中的应用-simulated annealing algorithm in the loan portfolio optimization of
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A .zip file contains a series of scr ipts that were used in the MathWorks webinar \"Using MATLAB to Develop Portfolio Optimization Models.\" The scr ipts generate 3D efficient frontiers for a universe of 44 stocks with time as the third axis. Additio
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SFLA算法是解决组合性优化问题的算法。它是基于集合类方法的启发式研究，这种SFLA初始化于一群虚拟集合青蛙，在池塘中跳跃，搜寻最优的食物地点。青蛙们可以被看作是具有思维的的主体。一种思维可以被看作是一个思想的集合或是文化的进化。每一种思维都是由一系列策略构成。在这种策略进化期间，青蛙的思维也在发生改变，导致了他们在面向目标时方位的改变，这种思维的变化或改变的发生，正是因为青蛙受到其他更好思想的影响。-SFLA algorithm to solve portfolio optimization
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RISC-DSP组合处理器设计优化[1].-RISC-DSP processor design portfolio optimization [1].
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背包问题(Knapsack problem)是一种组合优化的NP完全问题, 相似问题经常出现在商业、投资组合优化、组合数学，计算复杂性理论、密码学和应用数学等领域中，因此具有广泛的实际应用领域。-Knapsack problem (Knapsack problem) is a kind of combinatorial optimization of NP-complete problem, the problem often similar to business, investment po
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模拟退火算法来源于固体退火原理，将固体加温至充分高，再让其徐徐冷却，加温时，固体内部粒子随温升变为无序状，内能增大，而徐徐冷却时粒子渐趋有序，在每个温度都达到平衡态，最后在常温时达到基态，内能减为最小。根据Metropolis准则，粒子在温度T时趋于平衡的概率为e-ΔE/(kT)，其中E为温度T时的内能，ΔE为其改变量，k为Boltzmann常数。用固体退火模拟组合优化问题，将内能E模拟为目标函数值f，温度T演化成控制参数t，即得到解组合优化问题的模拟退火算法：由初始解i和控制参数初值t开始，对
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Constrained optimization has been explained with matlab 2007a. This has been explained with various benchmark functions. The main program can be directly applied to knapsack problem and portfolio optimization problem directly.
These programs have b
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portfolio optimization
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使用WCVaR作为风险测度，进行投资组合优化，选择最优组合-Use WCVaR as a risk measure, the portfolio optimization, choose the best combination
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证券投资组合分析技术，matlab最优化-University of Geneva Develops Advanced
Portfolio Optimization Techniques with
MathWorks Tools
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An effieient matlab program code for plotting the minimum vaiance froniers under different scenarios in the field of portfolio optimization.
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An effieicnt matlab m code for solving the optimun capital allocation in the field of Markowitz portfolio optimization.
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这是加拿大的滑铁卢教授best 来华南理工教学的出版书籍，投资组合优化的-This is the best China Huanan teaching in Canada Waterloo published books, portfolio optimization
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这是加拿大的滑铁卢教授best 来华南理工教学的出版书籍，投资组合优化的源代码-This is the best China Huanan teaching in Canada Waterloo publication of books, the source code of the portfolio optimization
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这个程序可以用来做组合投资策略，并且可以进行回测，看自己的策略和现阶段的市场是否吻合-he following MATLAB .mat and .m files can be used to generate 3D efficient frontiers and do backtests. They are the materials used in the MathWorks Webinar "Using MATLAB to Develop Portfolio Optimization Mo
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this file consists of matlab codes for portfolio optimization, codes are complete and a compelte example with some tests are included
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Portfolio Optimization matlab code
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机器学习在量化投资领域的综述，涉及组合优化理论、及机器学习的相关算法。(Machine Learning and Portfolio Optimization)
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多目标最优化经典算法，利于新学者学习，很经典(Multi-objective optimization classical algorithm)
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这个问题早在1952年马科维茨（Markowitz）就给出了答案，即：投资组合理论。根据这个理论，我们可以对多资产的组合配置进行优化。(This issue was answered by Markowitz in 1952 (Markowitz): portfolio theory. According to this theory, we can optimize the portfolio allocation of multiple assets.)
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