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Mixed Integer Linear Programming Formulation Techniques [PDF]
A wide range of problems can be modeled as Mixed Integer Linear Programming (MIP) problems using standard formulation techniques. However, in some cases the resulting MIP can be either too weak or too large to be effectively solved by state of the art ...
Vielma, Juan Pablo
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The Transport PDE and Mixed-Integer Linear Programming [PDF]
Discrete, nonlinear and PDE constrained optimization are mostly considered as different fields of mathematical research. Nevertheless many real-life problems are most naturally modeled as PDE constrained mixed integer nonlinear programs.
, , Martin, Alexander, Morsi, Antonio
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Analyzing Infeasible Mixed-Integer and Integer Linear Programs [PDF]
Algorithms and computer-based tools for analyzing infeasible linear and nonlinear programs have been developed in recent years, but few such tools exist for infeasible mixed-integer or integer linear programs. One approach that has proven especially useful for infeasible linear programs is the isolation of an Irreducible Infeasible Set of constraints (
Olivier Guieu, John W. Chinneck
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Formulating multi-class user equilibrium using mixed-integer linear programming
We introduce an approach to formulate and solve the multi-class user equilibrium traffic assignment as a mixed-integer linear programming (MILP) problem.
Xiao Lin +3 more
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A Bilevel Mixed-Integer Linear Programming Model for Emissions Reduction
Government-industry interactions for emissions control can be modelled as Stackelberg or leader-follower games. Government acts as the leader by setting regulations and economic incentives, while industry as the follower reacts to these policies by ...
Raymond R. Tan, Kathleen B. Aviso
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Online Self-Healing Scheme of Distribution Network Based on Mixed Integer Linear Programming
The existing distribution network self-healing schemes cannot meet the online requirements. In this regard, an online distribution network self-healing scheme based on mixed integer linear programming is proposed.
Tiecheng LI +5 more
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Mean Squared Variance Portfolio: A Mixed-Integer Linear Programming Formulation
The mean-variance (MV) portfolio is typically formulated as a quadratic programming (QP) problem that linearly combines the conflicting objectives of minimizing the risk and maximizing the expected return through a risk aversion profile parameter.
Francisco Fernández-Navarro +3 more
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Branch-and-Bound for Biobjective Mixed-Integer Linear Programming [PDF]
We present a generic branch-and-bound algorithm for finding all the Pareto solutions of a biobjective mixed-integer linear program. The main contributions are new algorithms for obtaining dual bounds at a node, checking node fathoming, presolve, and duality gap measurement.
Nathan Adelgren, Akshay Gupte
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Optimization algorithms are tools used in the planning and operations of renewable energy-based distributed power systems. Mixed integer linear programming as a classical optimization method is considered in the literature for sizing nanogrid systems due
Gourab Das, M. De, K.K. Mandal
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Solving the Traveling Telescope Problem with Mixed-integer Linear Programming
The size and complexity of modern astronomical surveys has grown to the point where, in many cases, traditional human scheduling of observations are tedious at best and impractical at worst.
Luke B. Handley +2 more
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