A chance-constrained programming algorithm

1972 ◽  
Vol 12 (3) ◽  
pp. 376-399 ◽  
Author(s):  
Yrjö Seppälä
Keyword(s):  
Programming Algorithm ◽  
Chance Constrained Programming ◽  
Constrained Programming

Influence of different downstream users on single multipurpose reservoir operation by chance constraints

1988 ◽  
Vol 15 (4) ◽  
pp. 596-600
Author(s):  
S. Simonovic
Keyword(s):  
Chance Constraints ◽  
Programming Algorithm ◽  
Chance Constrained Programming ◽  
Control Space ◽  
Constrained Model ◽  
Constrained Programming ◽  
Release Strategy ◽  
Control Trajectory ◽  
Multipurpose Reservoir

A chance-constrained model is applied to solve the problem of long-term planning of the operation of a single multipurpose reservoir. Apart from the direct multipurpose use of water from the reservoir downstream, releases are available for use. The influence of downstream users is taken into account by a special form of objective function. Releases are bounded by the capacity of the outlet works above and by the guaranteed minimum from below. These two bounds are constraints on the control space. The model uses a chance-constrained programming algorithm to yield the control trajectory (releases) closest to the optimum. The properties of the chance-constrained program reveal a strong influence of changes of the control space on releases. This enables a release strategy to be derived which will increase the utilization of water from the reservoir. The application and results presented in this paper refer to the Prohor Reservoir on the Pcinja River in the Vardar River basin, Yugoslavia. Key words: multipurpose reservoir, mathematical modeling, optimization, chance constraints, control space.

Chance constrained programming with some non-normal continuous random variables

OPSEARCH ◽  
2020 ◽  
Vol 57 (4) ◽  
pp. 1281-1298
Author(s):  
D. K. Mohanty ◽  
Avik Pradhan ◽  
M. P. Biswal
Keyword(s):  
Random Variables ◽  
Chance Constrained Programming ◽  
Constrained Programming

A novel model for multi-criteria assessment based on BWM and possibilistic chance-constrained programming

2021 ◽  
pp. 107287
Author(s):  
Maghsoud Amiri ◽  
Mohammad Hashemi-Tabatabaei ◽  
Mohammad Ghahremanloo ◽  
Mehdi Keshavarz-Ghorabaee ◽  
Edmundas Kazimieras Zavadskas ◽  
...  
Keyword(s):  
Chance Constrained Programming ◽  
Constrained Programming ◽  
Novel Model
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