Results 11 to 20 of about 457,600 (272)
Mathematical Programming Techniques for Sensor Networks
Algorithms, 2009 This paper presents a survey describing recent developments in the area of mathematical programming techniques for various types of sensor network applications.
Alexey Sorokin +4 more
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Modules over monads and operational semantics (expanded version) [PDF]
Logical Methods in Computer Science, 2022 This paper is a contribution to the search for efficient and high-level mathematical tools to specify and reason about (abstract) programming languages or calculi.
André Hirschowitz +2 more
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EURO Journal on Computational Optimization, 2017 This paper elaborates compact MIP formulations for a discrete unit commitment problem with minimum stop and ramping constraints. The variables can be defined in two different ways.
Nicolas Dupin
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Multifacility location problems on a sphere
International Journal of Mathematics and Mathematical Sciences, 1987 A unified approach to multisource location problems on a sphere is presented. Euclidean, squared Euclidean and the great circle distances are considered. An algorithm is formulated and its convergence properties are investigated.
Turgut Aykin, A. J. G. Babu
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Maximum precision-lifetime curve for joint sensor selection and data routing in sensor networks [PDF]
, 2007 In many classes of monitoring applications employing battery-limited sensor networks, periodic sampling of an area with a given precision level is required.
Ahuja +11 more
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EURO Journal on Computational Optimization, 2016 This paper addresses two variants of the routing and wavelength assignment problem arising in the context of optical transport networks. In both variants, we address the case where the physical coverage of the fiber network is such that regenerators, to ...
Amaro de Sousa +2 more
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Representing logic gates over Euclidean space via heaviside step function
Scientific Reports, 2022 Theoretical concepts asserted by Alan Turing are the basis of the computation and hence of machine intelligence. Turing Machine, the fundamental computational model, has been proven to be reducible to a logic circuit and, at the same time, portable into ...
Giovanni Iacovelli, Claudio Iacovelli
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Multiparametric Programming in Process Systems Engineering: Recent Developments and Path Forward
Frontiers in Chemical Engineering, 2021 The inevitable presence of uncertain parameters in critical applications of process optimization can lead to undesirable or infeasible solutions. For this reason, optimization under parametric uncertainty was, and continues to be a core area of research ...
Iosif Pappas +13 more
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A Genetic Algorithm for the Double Row Layout Problem
Jurnal Teknik Industri, 2020 The double row layout problem (DRLP) is an NP-hard and has many applications in the industry. The problem concerns on arranging the position of machines on the two rows so that the material handling cost is minimized.
Achmad Pratama Rifai +3 more
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Applications of reformulations in mathematical programming [PDF]
4OR, 2012 Mathematical programming is a technique that can be used to solve real-world optimization problems, where one wants to maximize, or minimize, an objective function subject to some constraints on the decision variables. The key features of mathematical programming are the creation of a model for describing the problem (the so called formulation), and ...
openaire +1 more source