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Group-based Adaptive Differential Evolution For Chance Constrained Portfolio Optimization Using Bank Deposit and Bank Loan

机译:基于组的自适应微分进化,使用银行存款和银行贷款进行机会约束的投资组合优化

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Portfolio optimization using bank deposit and loan is formulated as a chance constrained problem in which a non-risk asset called bank deposit is included in the portfolio and the borrowing money called bank loan can be invested in risk assets. The chance constrained problem is transformed into an equivalence problem. Then an Adaptive Differential Evolution using Directed mutation (ADED) is proposed and applied to the equivalence problem. Furthermore, in order to cope with large scale instances, ADED is extended to group-based ADED called ADED4G. ADED4G divides the feasible region of the chance constrained problem into four areas and executes ADED in each of the areas simultaneously. Experimental results show that both ADED and ADED4G are excellent. Besides, the practical use of bank deposit and bank loan improves the efficient frontier.
机译:使用银行存款和贷款进行投资组合优化被公式化为机会约束问题,其中将称为银行存款的非风险资产包括在投资组合中,并将称为银行贷款的借入资金投资于风险资产。机会约束问题转化为等价问题。然后提出了一种使用定向突变的自适应差分进化算法(ADED)并将其应用于等价问题。此外,为了应对大型实例,ADED扩展到了基于组的ADED,称为ADED4G。 ADED4G将机会约束问题的可行区域划分为四个区域,并在每个区域中同时执行ADED。实验结果表明,ADED和ADED4G均优异。此外,银行存款和银行贷款的实际使用提高了有效边界。

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