For most huge systems, planning is a very important step to adapt them for future excepted changes. Planning could figure out most of potential problems and help people to make long-term decisions to get more secure and profitable. But huge system-planning problems would cost long time and lots of effort, we need some mathematic methods to simplify and solve the problems. Luckily, there comes Benders Decomposition. Benders Decomposition is a popular technique in solving certain classes of difficult problems such as stochastic programming problems, and mixed-integer nonlinear programming problems [1][2]. Then some software is needed to model basic template of Benders Decomposition algorithm with and for most engineers, MATLAB is one of the m...
Computational Methods for Electric Power Systems introduces computational methods that form the basi...
In this paper, a comprehensive mathematical model for designing an electric power supply chain netwo...
Energy systems planning models identify least-cost strategies for expansion and operation of energy ...
This paper presents the Benders decomposition technique and Branch and Bound algorithm used in the r...
This paper presents an application of Benders decomposition to deal with the complexities in the sim...
Benders decomposition is a solution method for solving certain large-scale optimization problems. In...
This paper presents the Benders decomposition technique and Branch and Bound algorithm used in the r...
Published October 1988. Facts and recommendations in this publication may no longer be valid. Please...
In this paper, a general scheme for generating extra cuts during the execution of a Benders decompos...
The decrease in power supply in the country has caused economic problems to small scale industries; ...
In stochastic programming, the consideration of uncertainty might lead to large scale prob-lems. In ...
Ovaj završni rad opisuje dekompozicijske metode za rješavanje linearnih sustava: LU dekompozicija, Q...
ABSTRACT. In an electric power systems planning framework, decomposition techniques are usually ap-p...
The emergence of a great number of regional planning projects worldwide has considerably increased t...
Benders decomposition has been broadly used for security constrained unit commitment problems, despi...
Computational Methods for Electric Power Systems introduces computational methods that form the basi...
In this paper, a comprehensive mathematical model for designing an electric power supply chain netwo...
Energy systems planning models identify least-cost strategies for expansion and operation of energy ...
This paper presents the Benders decomposition technique and Branch and Bound algorithm used in the r...
This paper presents an application of Benders decomposition to deal with the complexities in the sim...
Benders decomposition is a solution method for solving certain large-scale optimization problems. In...
This paper presents the Benders decomposition technique and Branch and Bound algorithm used in the r...
Published October 1988. Facts and recommendations in this publication may no longer be valid. Please...
In this paper, a general scheme for generating extra cuts during the execution of a Benders decompos...
The decrease in power supply in the country has caused economic problems to small scale industries; ...
In stochastic programming, the consideration of uncertainty might lead to large scale prob-lems. In ...
Ovaj završni rad opisuje dekompozicijske metode za rješavanje linearnih sustava: LU dekompozicija, Q...
ABSTRACT. In an electric power systems planning framework, decomposition techniques are usually ap-p...
The emergence of a great number of regional planning projects worldwide has considerably increased t...
Benders decomposition has been broadly used for security constrained unit commitment problems, despi...
Computational Methods for Electric Power Systems introduces computational methods that form the basi...
In this paper, a comprehensive mathematical model for designing an electric power supply chain netwo...
Energy systems planning models identify least-cost strategies for expansion and operation of energy ...