Research on Portfolio Model Based on Multi-Objective Genetic Algorithm

被引:0
|
作者
Lin, Haonan [1 ]
机构
[1] South China Univ Technol, Guangzhou 510006, Guangdong, Peoples R China
关键词
Portfolio; High Performance Computing; Multi-Objective Evolutionary Algorithm; Multiple Attribute Decision Making;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Portfolio optimization problem is a multi-objective optimization problem, it is necessary to consider the benefits should also consider the risks and the optimal situation is to achieve the least risk and maximum return. Papers define portfolio optimization problems, analyze the shortcomings of the existing portfolio model and the corresponding solution ideas, introduce multi-objective genetic algorithm and demonstrate the feasibility of multi-objective genetic algorithm in the application portfolio. Algorithm design process, detailed process of constructing and building a portfolio investment in line with the actual situation, put forward five objective optimization model from all angles, through a reasonable, optimized simulation test, and then select the algorithm selected from a number of programs better overall performance of the program.
引用
收藏
页码:992 / 997
页数:6
相关论文
共 50 条
  • [31] A multi-objective genetic algorithm based on quick sort
    Zheng, JH
    Ling, C
    Shi, ZZ
    Xue, J
    Li, XY
    [J]. ADVANCES IN ARTIFICIAL INTELLIGENCE, 2004, 3060 : 175 - 186
  • [32] A multi-objective route planning model based on genetic algorithm for cuboid surfaces
    Koca, Gonca Ozmen
    Dogan, Sengul
    Yilmaz, Hicran
    [J]. AUTOMATIKA, 2018, 59 (01) : 120 - 130
  • [33] Model and method for supplier selection based on improved multi-objective genetic algorithm
    Zhou Lei
    Song Shi-ji
    [J]. Proceedings of the 2007 Chinese Control and Decision Conference, 2007, : 845 - 848
  • [34] Micro Grid Scheduling Optimization Model Based on Multi-objective Genetic Algorithm
    Shen, Gang
    Zhuang, Jian
    Yu, Jiancheng
    Xu, Ke
    Gao, Yi
    [J]. 2016 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA & SMART CITY (ICITBS), 2017, : 513 - 516
  • [35] Multi-objective Signal Timing Model of Single Intersection Based on Genetic Algorithm
    Wang, Zhuoqun
    Hou, Yufei
    Luo, Qin
    Yan, Min
    Zhang, Yiming
    [J]. PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS SCIENCE AND CIVIL ENGINEERING (AMSCE 2017), 2017, 70 : 138 - 141
  • [36] Nonlinear Model Predictive Control Based on Lexicographic Multi-objective Genetic Algorithm
    Zheng Tao
    Wu Gang
    He De-Feng
    [J]. ICIAS 2007: INTERNATIONAL CONFERENCE ON INTELLIGENT & ADVANCED SYSTEMS, VOLS 1-3, PROCEEDINGS, 2007, : 61 - 65
  • [37] Multi-objective genetic algorithm based on the fuzzy MULTIMOORA method for solving the cardinality constrained portfolio optimization
    Deliktas, Derya
    Ustun, Ozden
    [J]. APPLIED INTELLIGENCE, 2023, 53 (12) : 14717 - 14743
  • [38] Multi-objective genetic algorithm based on the fuzzy MULTIMOORA method for solving the cardinality constrained portfolio optimization
    Derya Deliktaş
    Ozden Ustun
    [J]. Applied Intelligence, 2023, 53 : 14717 - 14743
  • [39] An Improved Multi-Objective Genetic Algorithm for Solving Multi-objective Problems
    Hsieh, Sheng-Ta
    Chiu, Shih-Yuan
    Yen, Shi-Jim
    [J]. APPLIED MATHEMATICS & INFORMATION SCIENCES, 2013, 7 (05): : 1933 - 1941
  • [40] Hybrid Multi-Objective Genetic Algorithm for Multi-Objective Optimization Problems
    Zhang, Song
    Wang, Hongfeng
    Yang, Di
    Huang, Min
    [J]. 2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 1970 - 1974