Results 11 to 20 of about 26,851 (306)
Branch-and-cut solution approach for multilevel mixed integer linear programming problems
EURO Journal on Computational Optimization, 2023 A multilevel programming problem is an optimization problem that involves multiple decision makers, whose decisions are made in a sequential (or hierarchical) order. If all objective functions and constraints are linear and some decision variables in any
Ashenafi Awraris +2 more
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An Optimal Generation Scheduling Approach Based on Linear Relaxation and Mixed Integer Programming
IEEE Access, 2020 This paper proposes an optimal generation scheduling approach based on linear relaxation and mixed integer programming, which is used to solve the generation dispatch problem.
Yunkai Lei +5 more
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A mixed integer linear programming model for minimum backbone grid
Frontiers in Energy Research, 2023 Developing a minimum backbone grid in the power system planning is beneficial to improve the power system’s resilience. To obtain a minimum backbone grid, a mixed integer linear programming (MILP) model with network connectivity constraints for a minimum
Wenwen Mei +5 more
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Formulating multi-class user equilibrium using mixed-integer linear programming
EURO Journal on Transportation and Logistics, 2022 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
Chemical Engineering Transactions, 2022 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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Mean Squared Variance Portfolio: A Mixed-Integer Linear Programming Formulation
Mathematics, 2021 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]
INFORMS Journal on Computing, 2022 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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Online Self-Healing Scheme of Distribution Network Based on Mixed Integer Linear Programming
Zhongguo dianli, 2023 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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Solving the Traveling Telescope Problem with Mixed-integer Linear Programming
The Astronomical Journal, 2023 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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Energy Reports, 2021 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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