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Portfolio Optimization Problem by the Firefly Algorithm

机译:萤火虫算法的投资组合优化问题

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This paper presents metaheuristics framework for solving portfolio optimization problem. Many methods and techniques exist for tackling this well-known economics and finance problem. As additional constraints are being added to the basic problem definition, traditional techniques become insufficient and optimization meta-heuristics emerge as a better approach. In this paper, firefly algorithm (FA) swarm intelligence metaheuristics was applied to the portfolio optimization problem and it was tested on a set of five assets with promising results.
机译:本文介绍了解决组合优化问题的陨素质框架。存在解决这一知名经济学和财务问题的许多方法和技术。随着额外的约束被添加到基本问题的定义中,传统技术变得不足,优化元启发式作为更好的方法。在本文中,萤火虫算法(FA)群体智能成分术应用于投资组合优化问题,并在一组具有有前途结果的五个资产上进行了测试。

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