中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Dependent-chance goal programming and its genetic algorithm based approach

文献类型:期刊论文

作者Liu, BD
刊名MATHEMATICAL AND COMPUTER MODELLING
出版日期1996-10-01
卷号24期号:7页码:43-52
关键词stochastic programming goal programming dependent-chance goal programming genetic algorithm
ISSN号0895-7177
英文摘要This paper develops a general formulation of dependent-chance goal programming (DCGP) which is an extension of stochastic goal programming in a complex stochastic system, and gives an example of water allocation and supply to show the application of DCGP. A genetic algorithm based approach is also presented to solve such a model. DCGP is available to the systems in which there are multiple stochastic inputs and multiple outputs with their own reliability levels. The characteristic of DCGP is that the chances of some probabilistic goals are dependent, i.e., the goals cannot be considered in isolation or converted to their deterministic equivalents. Finally, Monte Carlo simulation is also discussed for calculating the chance functions in complex stochastic constraints.
语种英语
WOS记录号WOS:A1996VN51000004
出版者PERGAMON-ELSEVIER SCIENCE LTD
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/28817]  
专题中国科学院数学与系统科学研究院
作者单位CHINESE ACAD SCI,INST SYST SCI,BEIJING 100080,PEOPLES R CHINA
推荐引用方式
GB/T 7714
Liu, BD. Dependent-chance goal programming and its genetic algorithm based approach[J]. MATHEMATICAL AND COMPUTER MODELLING,1996,24(7):43-52.
APA Liu, BD.(1996).Dependent-chance goal programming and its genetic algorithm based approach.MATHEMATICAL AND COMPUTER MODELLING,24(7),43-52.
MLA Liu, BD."Dependent-chance goal programming and its genetic algorithm based approach".MATHEMATICAL AND COMPUTER MODELLING 24.7(1996):43-52.

入库方式: OAI收割

来源:数学与系统科学研究院

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。