Axis 2: Decision support made in complex systems
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1444 results — page 10 of 73
This paper presents an efficient method for extracting the second-order sensitivities from a system of implicit nonlinear equations. We design a custom aut...
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For a simple connected graph \(G\), let \(D(G), ~Tr(G)\), \(D^{L}(G)=Tr(G)-D(G)\), and \(D^{Q}(G)=Tr(G)+D(G)\) be the distance matrix, the diagonal m...
A small polygon is a polygon of unit diameter. The maximal area of a small polygon with \(n=2m\) vertices is not known when \(m \ge 7\). In this paper, w...
The Tenth Montreal IPSW took place on August 13-27, 2020, and was jointly organized by the Centre de recherches mathématiques (CRM) and the Institute for Dat...
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For a graph \(G\), the signless Laplacian matrix \(Q(G)\) defined as \(Q(G) = D(G) + A(G)\), where \(A(G)\) is the adjacency matrix of \(G\) and `...
In this paper we examine the stability of international environmental agreements about a (common) emissions target. By signing the agreement, the parties d...
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The increasingly complex energy systems are turning the attention towards model-free control approaches such as reinforcement learning (RL). This work propos...
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A small polygon is a polygon of unit diameter. The maximal width of an equilateral small polygon with \(n=2^s\) vertices is not known when \(s \ge 3\). T...
Binary quadratic programming (BQP) is a class of combinatorial optimization problems comprising binary variables, quadratic objective functions and linear/no...
BibTeX referenceAdaptive simultaneous stochastic optimization of mining complexes: Where is the value coming from?
This paper aims to identify the sources of value created in the strategic plan of a mining complex when the adaptive simultaneous stochastic optimization of ...
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The geometallurgical models that predicting the throughput/comminution performance of the a processing plant often rely on rock hardness models, which are ba...
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In this paper, we consider both first- and second-order techniques to address continuous optimization problems arising in machine learning. In the first-orde...
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This work is in the context of blackbox optimization where the functions defining the problem are expensive to evaluate and where no derivatives are availabl...
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We study a class of deterministic finite-horizon two-player nonzero-sum differential games where players are endowed with different kinds of controls. W...
BibTeX referenceBlackbox optimization
The goal of the Encyclopedia of Optimization is to introduce the reader to a complete set of topics that sh...
BibTeX referenceIntegrating learning and explicit model predictive control for unit commitment in microgrids
In this paper, we apply flexibility-based operational planning method to microgrid (MG) unit commitment (UC). The problem is formulated based on model predi...
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A small polygon is a polygon of unit diameter. The maximal perimeter of a convex equilateral small polygon with \(n=2^s\) vertices is not known when `(s ...
The Quadratic Knapsack Problem (QKP) is a well-known combinatorial optimization problem which amounts to maximizing a quadratic function of binary variables,...
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This article presents a novel stochastic optimization model that simultaneously optimizes the short-term extraction sequence, shovel relocation, scheduling o...
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An innovative strategic mine planning approach is applied to a multi-mine and multi-process gold mining complex that simultaneously considers feasible capita...
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