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Estimation by Inverse Approach of a Transmissivity Field over the Entire Continental Terminal Aquifer of Abidjan

Kouamé Auguste Kouassi, Francis Williams Kouassi, Oi Mangoua Jules Mangoua, Philippe Ackerer, Gountôh Aristide Douagui, Issiaka Savane
2019 International Journal of Environment and Climate Change  
In this article, the real transmissivity field of the aquifer of the Continental Terminal of Abidjan is investigated by a multi-scale parametrization that allows to bypass the problem of scale change and  ...  This hydrogeological modelling of the Continental Terminal aquifer identified a structure of 153 nodes in size as the closest structure to that of the Continental Terminal aquifer.  ...  In this article, the real transmissivity field of the aquifer of the Continental Terminal of Abidjan is investigated by a multi-scale parametrization that allows to bypass the problem of scale change and  ... 
doi:10.9734/ijecc/2019/v9i1230152 fatcat:uzvtmd7wojavdgejqamys2fzum

A reduced order modeling approach for optimal allocation of Distributed Generation in power distribution systems

Raquel Garcia-Blanco, Pedro Diez, Domenico Borzacchiello, Francisco Chinesta
2016 2016 IEEE International Energy Conference (ENERGYCON)  
We address to this problem as the Parametric Power Flow (PPF). PPF naturally arises as a high dimensional problem.  ...  Parametrized power flow equations When we consider the Parametric Power Flow problem, the voltage V , the power source S and the current I are no longer vectors of nodal values but vector valued functions  ... 
doi:10.1109/energycon.2016.7514119 fatcat:x2lqqhfsgzbqvdyx6dxxrcs3im

Revisiting parametric multi-terminal problems: Maximum flows, minimum cuts and cut-tree computations

D. Barth, P. Berthomé, M. Diallo, A. Ferreira
2006 Discrete Optimization  
Given an undirected network, the multi-terminal network flows analysis consists in determining the all pairs maximum flow values.  ...  We first provide an efficient algorithm for the single parametric capacity case, and then propose a generalization to the case of multiple parametric capacities.  ...  The problem we deal with will be called parametric multi-terminal network flows.  ... 
doi:10.1016/j.disopt.2006.05.003 fatcat:q4pbzagytnggtbuqafqscef6jq


João Paulo de Freitas Araujo, Fernanda Maria Pereira Raupp, José Eugenio Leal, Madiagne Diallo
2017 Pesquisa Operacional  
In this work, the presence of cut nodes in a network is exploited to propose a competitive method for the multi-terminal maximum flow problem.  ...  Moreover, the proposed method was adapted for the single maximum flow problem, but failed to improve existing running times for the very same classes of instances.  ...  For the case of the multi-terminal maximum flow problem, the property comes up from its parametric version, formulated in the light of the theory of sensitivity analysis on multi-terminal maximum flows  ... 
doi:10.1590/0101-7438.2017.037.03.0437 fatcat:fk246k5jzzfyvg232ebw4js4lu

Building Circuits from Relations [chapter]

James H. Kukula, Thomas R. Shiple
2000 Lecture Notes in Computer Science  
The constructed circuit includes supplementary parametric inputs to allow all legal outputs to be generated in the case that T is non-deterministic.  ...  In contrast, we work with the more general problem of binary relations. Another difference is that their algorithm generates a parametric result in the form of OBDDs.  ...  Each edge in the BDD corresponds to two wires in the circuit, one that flows from terminal to root and one that flows from root to terminal.  ... 
doi:10.1007/10722167_12 fatcat:mlqitban6jd4dayufhnssp2k64

Short-term prediction of outbound truck traffic from the exchange of information in logistics hubs: A case study for the port of Rotterdam

Ali Nadi, Salil Sharma, Maaike Snelder, Taoufik Bakri, Hans van Lint, Lóránt Tavasszy
2021 Transportation Research Part C: Emerging Technologies  
This paper aims to develop a model that predicts short-term changes in truck volumes, generated from major container terminals in maritime ports.  ...  The model predicts lag and nonproportional responses of truck flows to changes in container turnover at terminals.  ...  To cope with this problem, we can choose from either weighted sum or direct methods to solve the proposed multi-objective problem.  ... 
doi:10.1016/j.trc.2021.103111 fatcat:yrbjlt3vrndmhikb3i4vz2o6re

A Parametric Network Approach for Concepts Hierarchy Generation in Text Corpus

L. S. Sângeorzan, M. M. Parpalea, M. Parpalea
2016 Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica  
The article presents a preflow approach for the parametric maximum flow problem, derived from the rules of constructing concepts hierarchy in text corpus.  ...  Just as generating a taxonomy can be equivalently reduced to ranking concepts within a text corpus according to a defined criterion, the proposed preflow bipush-relabel algorithm computes the maximum flow  ...  For the parametric maximum flow problem in bipartite networks however the parametric bipartite preflow bipush-relabel (PBB) algorithm overcomes this inconvenient by using the multi-thread parallel implementation  ... 
doi:10.1515/auom-2016-0022 fatcat:jbzwdszj6zf4xbw62z4gz5uewa

Robust optimization for the pooling problem

Johannes Wiebe, Inês Cecílio, Ruth Misener
2019 Industrial & Engineering Chemistry Research  
To date, it has largely been treated deterministically, neglecting the influence of parametric uncertainty.  ...  We explore the suitability of robust optimization in the context of global optimization problems which are concave in the uncertain parameters by considering the pooling problem with uncertain inlet concentrations  ...  q i,l fraction of flow entering pool l from source i v j total flow to terminal j y l,j flow from pool l to terminal j x i,j total flow from source i to terminal j x vector of decision variables ξ vector  ... 
doi:10.1021/acs.iecr.9b01772 fatcat:tdefzfusnnemleapadup2j5p34

A Multi-commodity Network Flow Model for Cloud Service Environments [chapter]

Ioannis M. Stephanakis, Syed Noor-Ul-Hassan Shirazi, Antonios Gouglidis, David Hutchison
2016 Communications in Computer and Information Science  
In this paper, we investigate the multi-commodity flows problem, as a task within our D 2 R 2 +DR resilience strategy, and in the context of big data cloud systems.  ...  Specifically, proximal gradient optimization is proposed for determining optimal computation flows since such algorithms are highly attractive for solving big data problems.  ...  Proximal algorithms have been used for multi-commodity network flow optimization [15] .  ... 
doi:10.1007/978-3-319-44188-7_14 fatcat:khmdvluyk5eabnbueatmug7do4

Inverse Modeling of Viscoelasticity Materials using Physics Constrained Learning [article]

Kailai Xu, Alexandre M. Tartakovsky, Jeff Burghardt, Eric Darve
2020 arXiv   pre-print
the context of multi-physics interactions.  ...  The effectiveness of our method is demonstrated through numerous benchmark problems in geomechanics and porous media transport.  ...  The observed data can also be a result of multi-physics interactions, such as those in coupled geomechanics and multi-phase flow models.  ... 
arXiv:2005.04384v1 fatcat:hzjxkhatvrcbfno2rsidhiypy4

Solving Multi-Objective Probabilistic Factional Programming Problem

2019 International Journal of Engineering and Advanced Technology  
A set of Pareto optimal solutions are generated for a multi objective probabilistic non-linear fractional programming problem.  ...  Since the programming problem consists of random variables, multi-objective function and fractional objective function, it is lengthy, time-consuming and clumsy to solve the proposed programming problem  ...  Step 11: When termination criteria is reached the present population gives the best solution. Else go to step 5. Stochastic simulation based GA flow chart is given by Fig 1.  ... 
doi:10.35940/ijeat.f1162.0986s319 fatcat:4xxroc3cczhrffgo24bau6wtlq

Parametric Study for Optimal Performance of Coulomb-Coupled Quantum Dots

Kum Hyok Jong, Song Mi Ri, Chol Won Ri
2021 Journal of Physics: Condensed Matter  
We study the optimal output power and eciency of the three-terminal quantum heat engine with Coulomb-coupled quantum-dots (CCQD).  ...  We show the parametric dependence of the output power and coecient and nd the optimal performance of this CCQD heat engine through genetic algorithm.  ...  MOGA is a sort of GA for multi-objective problems and in generally, the objective functions in multi-objective problem always contradict each other.  ... 
doi:10.1088/1361-648x/ac0f2a pmid:34181584 fatcat:kfszm36bazesjnug447qn6u734

A Critical Survey on the Network Optimization Algorithms for Evacuation Planning Problems

Tanka Nath Dhamala, Urmila Pyakurel, Stephan Dempe
2018 International Journal of Operations Research  
We consider the computationally hard flows over time problems from wider perspective including flow/time dependent attributes (dynamic flows), a possibility of flows loss on paths while travelling (lossy  ...  network problems), arcs/path reversal capability (contraflow models) and possibilities of eliminating merging and crossing conflicts at intersections (abstract flows).  ...  This solution technique is also extended for the time dependent multi source and general multi terminal quickest transshipment problems by converting the multi terminal networks to two-terminal networks  ... 
doi:10.6886/ijor.201809_15(3).0002 doaj:fc8f5a7d5fd74095b4d1d0ca4ac04a6b fatcat:kbtyog7njzhk3h6mg3d4m5bwqa

Design of multi-parametric NCO tracking controllers for linear dynamic systems

Muxin Sun, Benoît Chachuat, Efstratios N. Pistikopoulos
2016 Computers and Chemical Engineering  
A methodology for combining multi-parametric programming and NCO tracking is presented in the case of linear dynamic systems.  ...  Compared to the classical multi-parametric MPC controller, this approach leads to a reduction in the number of critical regions.  ...  Background Multi-parametric MPC Multi-parametric programming provides a means for computing the solution mapping of an optimization-based control problem off-line, based on a model of the dynamic system  ... 
doi:10.1016/j.compchemeng.2016.04.038 fatcat:taa6o6hdlffrdkmygx3iu5fj3q

Exemplifying parametric timed specifications over signals with bounded behavior [article]

Étienne André, Masaki Waga, Natsuki Urabe, Ichiro Hasuo
2022 arXiv   pre-print
Our method then generates concrete runs exemplifying the specification.  ...  Part 1 is straightforward: exhibiting a point (line 2 in Algorithm 2) does not pose any termination problem, and the reconstruction of the positive run (line 3) is done backwards, with a guarantee of termination  ...  Concrete semantics We do not give the concrete semantics of this formalism, as we will manipulate a subclass called parametric linear multi-rate automaton (PLMA). 4 Parametric linear multi-rate automata  ... 
arXiv:2203.13247v1 fatcat:6cy4n6rfsjcd3dmxrtnew7wq4i
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