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RISA PROJECTION NEURAL NETWORK FOR SOLVING A MIXED-INTEGER PROGRAMMING
Mixed Integer Programming is a powerful tool to model and solve hard combinatorial optimization problems. Chip design and verification, network design,[1] line planning, frequency assignment, various types
of scheduling and many other...
Optimal unit commitment using equivalent linear minimum up and down time constraints
An optimal unit commitment for electric spot markets is presented in this paper. Unit commitment is a mixed integer and non-linear and complex combinatorial optimization problem which is difficult to be solved for large-scale power systems...
A bi-objective MIP model for facility layout problem in uncertain environment
are introduced which are called length and width deviation coefficients. According to these parameters, a definition for layout in uncertain environment is presented and a mixed integer programming (MIP) model is developed. Moreover, two new objective functions...
Optimal constrained power scheduling in Electricity market
Optimal constrained power scheduling in Electricity market
A New Equivalent Linear Mixed-Integer Expression Model of the Unit Commitment Problem with Minimum Operating Units
is a large scale, nonconvex, nonlinear, mixed-integer and complex combinatorial optimization problem. A new mixed-integer linear formulation is obtained to model the unit commitment problem. Additionally to overcome the complexity of the UCP, a...
Leveraging in-memory technology for interactive analyses of point-of-sales data
Critical path-aware voltage island partitioning and floorplanning for hard real-time embedded systems
Temperature and power are two major issues for multiple supply voltage (MSV)-aware embedded systems that due to their different physical behavior are required to be considered to gether in the system design especially in ...