Expected value multi-objective model with fuzzy parameters for asset portfolio optimization
In this paper, we propose an expected value multi-objective model (EVMOP) for portfolio optimization problem. A solution procedure consisting of fuzzy goal programming and fuzzy simulation based genetic algorithm i.e. Hybrid intelligent algorithm (HIA) 4 is presented to solve EVMOP.
Fuzzy portfolio selection chance-constraint programming multi-objective programming genetic algorithm fuzzy simulation
Garima Mittal Pankaj Gupta Mukesh Kumar Mehlawat
Department of Operational Research, University of Delhi, Delhi, India
国际会议
上海
英文
354-355
2010-12-10(万方平台首次上网日期,不代表论文的发表时间)