Results 31 to 40 of about 89 (86)
A MIP framework for non-convex uniform price day-ahead electricity auctions
It is well known that a market equilibrium with uniform prices often does not exist in non-convex day-ahead electricity auctions. We consider the case of the non-convex, uniform-price Pan-European day-ahead electricity market “PCR” (Price Coupling of ...
Mehdi Madani, Mathieu Van Vyve
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An improved cut-and-solve algorithm for the single-source capacitated facility location problem
In this paper, we present an improved cut-and-solve algorithm for the single-source capacitated facility location problem. The algorithm consists of three phases.
SuneLauth Gadegaard +2 more
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Bilevel programming for price-based electricity auctions: a revenue-constrained case
This paper describes the application of bilevel programming to a class of real-life problems in the field of electric power systems. Within the context of electricity markets, market-clearing procedures, i.e., auction models, are used by an independent ...
Ricardo Fernández-Blanco +2 more
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Evaluating the quality of image matrices in blockmodeling
One approach for analyzing large networks is to partition its nodes into classes where the nodes in a class have similar characteristics with respect to their connections in the network. A class is represented as a blockmodel (or image matrix).
Stefan Wiesberg, Gerhard Reinelt
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Complementarity-based nonlinear programming techniques for optimal mixing in gas networks
We consider nonlinear and nonsmooth mixing aspects in gas transport optimization problems. As mixed-integer reformulations of pooling-type mixing models already render small-size instances computationally intractable, we investigate the applicability of ...
FalkM. Hante, Martin Schmidt
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Improving strong branching by domain propagation
One of the essential components of a branch-and-bound based mixed-integer linear programming (MIP) solver is the branching rule. Strong branching is a method used by many state-of-the-art branching rules to select the variable to branch on.
Gerald Gamrath
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On global optimization with indefinite quadratics
We present an algorithmic framework for global optimization problems in which the non-convexity is manifested as an indefinite-quadratic as part of the objective function.
Marcia Fampa, Jon Lee, Wendel Melo
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Matheuristics for optimizing the network in German wagonload traffic
In this paper, we consider a capacitated multiple allocation hub location problem derived from a practical application in network design of German wagonload traffic.
Julia Sender +3 more
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The ordered capacitated facility location problem
Discrete location, Mixed integer programming, Strategic planning, 90B80, 90B06, 90C11,
Stefan Nickel +3 more
core +1 more source
Solving wind farm layout optimization with mixed integer programs and constraint programs
The wind farm layout optimization problem is concerned with the optimal location of turbines within a fixed geographical area to maximize profit under stochastic wind conditions. Previously, it has been modeled as a maximum diversity (or p-dispersion-sum)
PeterY. Zhang +3 more
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