Title of article
Dependent-chance programming: A class of stochastic optimization
Author/Authors
Baoding Liu، نويسنده ,
Issue Information
هفته نامه با شماره پیاپی سال 1997
Pages
16
From page
89
To page
104
Abstract
This paper provides a theoretical framework of dependent-chance programming, as well as dependent-chance multiobjective programming and dependent-chance goal programming which are new types of stochastic optimization. A stochastic simulation based genetic algorithm is also designed for solving dependent-chance programming models.
Keywords
Stochastic programming , Genetic Algorithm , Dependent-chance programming
Journal title
Computers and Mathematics with Applications
Serial Year
1997
Journal title
Computers and Mathematics with Applications
Record number
918117
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