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PAIRWISE COMPARISON MATRIX IN MULTIPLE CRITERIA DECISION MAKING
2016
Technological and Economic Development of Economy
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There are plenty of literature related to these issues, thus we mainly focus on the literature published in 37 peer reviewed international journals from 2010 to 2015 (searched via ISI Web of science). ...
This paper reviews the literature of the main developments of the PCM. ...
They transformed the optimization problem into an equivalent linear programming problem so as to obtain an optimal solution. ...
doi:10.3846/20294913.2016.1210694
fatcat:ewjoq62x3jcpbjhbbk4fcs2imm
Financial Portfolio Optimization: Computationally guided agents to investigate, analyse and invest!?
[article]
2013
arXiv
pre-print
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This work presents a novel mechanism to reach an optimal solution by encoding a variety of optimal solutions in a solution bank to guide the search process for the global investment objective formulation ...
Conceptual understanding of classes of solver agents that represent varying problem formulations and, mathematically oriented deterministic solvers along with stochastic-search driven evolutionary and ...
Acknowledgements Words wouldn't suffice for the deep sense of gratitude with which I would like to sincerely thank my guide Dr. Abhijit Kulkarni for his guidance throughout the course of this work. ...
arXiv:1301.4194v1
fatcat:xjh7x3tglbgh5eggl7zz3rzs74
2018 Index IEEE Transactions on Automatic Control Vol. 63
2018
IEEE Transactions on Automatic Control
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., TAC Oct. 2018 3510-3515
Solving the Dual Problems of Dynamic Programs via Regression. ...
Moothedath, S., +, TAC Nov. 2018 3881-3888 Ranking and Selection as Stochastic Control. Peng, Y., +, TAC Aug. 2018 2359-2373 Solving the Dual Problems of Dynamic Programs via Regression. ...
doi:10.1109/tac.2019.2896796
fatcat:bwmqasulnzbwhin5hv4547ypfe
2014 Index IEEE Transactions on Automatic Control Vol. 59
2014
IEEE Transactions on Automatic Control
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., +, TAC Aug. 2014 2144-2150
Infinite-Horizon Continuous-Time NMPC via Time Transformation. ...
., +, TAC Sept. 2014 2568-2573
Infinite-Horizon Continuous-Time NMPC via Time Transformation. ...
T
Target tracking A Stochastic Approach to Dubins Vehicle Tracking Problems. ...
doi:10.1109/tac.2014.2382720
fatcat:jah5kqkafvejrd7xpvyikmi53e
2008 Index IEEE Transactions on Automatic Control Vol. 53
2008
IEEE Transactions on Automatic Control
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The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
Koenig, D., +, TAC Feb. 2008 373-379 Convergence of numerical methods Numerical Solutions for Stochastic Differential Games With Regime Switching. ...
S., +, TAC Feb. 2008 350-355 Global Random Optimization by Simultaneous Perturbation Stochastic Approximation. Maryak, J. ...
doi:10.1109/tac.2008.2010902
fatcat:5d76tgkjnvhohntuilcvl3jb3i
Approximate and Probabilistic Computing: Design, Coding, Verification (Dagstuhl Seminar 15491)
2016
Dagstuhl Reports
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The aim of this seminar was to bring together academic and industrial researchers from the areas of probabilistic model checking, quantitative software analysis, probabilistic programming, and approximate ...
Computing has entered the era of approximation, in which hardware and software generate and reason about estimates. ...
The optimization framework includes program analyses that characterize the accuracy of transformed programs and search techniques that navigate the tradeoff space induced by transformations to find approximate ...
doi:10.4230/dagrep.5.11.151
dblp:journals/dagstuhl-reports/FilieriKMM15
fatcat:dao63covdjhflma6fflt3meus4
Optimal power flow: an introduction to predictive, distributed and stochastic control challenges
2018
at - Automatisierungstechnik
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Based on a concise problem statement, we introduce a common description of optimal power flow variants including multi-stage problems and predictive control, stochastic uncertainties, and issues of distributed ...
optimization. ...
Stochastic OPF In the presence of stochastic uncertainty surrounding the disturbance d, the goal of opf is to compute optimal viable feedback policies u-this problem is called stochastic opf (sopf). ...
doi:10.1515/auto-2018-0040
fatcat:sa3jdyjcm5hivhpiqxxyp62lie
Comparative Assessment of Algorithms and Software for Global Optimization
2005
Journal of Global Optimization
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This general remark is particularly valid with respect to global optimization (GO) software since GO literally encompasses "all" mathematical programming models. ...
A second paper will perform a comparative study using ideas presented here and discussions from the Stochastic Global Optimization workshop to be held in New Zealand, June 2001. ...
The number of replications and success rate pertain to stochastic global optimization (SGO) algorithms. ...
doi:10.1007/s10898-004-9971-3
fatcat:gqywgnelcjhzriiy5igpdbmt6e
Optimal Pump Control for Water Distribution Networks via Data-based Distributional Robustness
[article]
2022
arXiv
pre-print
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In this paper, we propose a data-based methodology to solve a multi-period stochastic optimal water flow (OWF) problem for water distribution networks (WDNs). ...
The objective is to determine the optimal feedback decisions of network-connected components, such as nominal pump schedules and tank head levels and reserve policies, which specify device reactions to ...
[29] and can be solved to global optimality with standard solvers. ...
arXiv:2005.08382v3
fatcat:paxpxpnm5bbkrl4aj3qptnldpy
Artifacts for "System Architecture Synthesis for Performability by Logic Solvers"
[article]
2022
Zenodo
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Our approaches are implemented in a prototype tool based on the VIATRA-Solver framework and using the PRISM Stochastic Model Checker for performability analysis. ...
Our paper proposes two logic solver-based approaches to evaluate complex design spaces by using partial models in order to find an optimal solution with respect to performability objectives. ...
Project no. 2019-1.3.1-KK-2019-00004 has been implemented with the support provided from the National Research, Development and Innovation Fund of Hungary, financed under the 2019-1.3.1-KK funding scheme ...
doi:10.5281/zenodo.6974248
fatcat:vrtb5qnzkzg65clbkiwfos3wc4
Comprehensive Review of Models and Methods for Inferences in Bio-Chemical Reaction Networks
2019
Frontiers in Genetics
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The key processes in biological and chemical systems are described by networks of chemical reactions. ...
Over the past decade, the interest in parameter and state estimation in models of (bio-) chemical reaction networks (BRNs) grew considerably. ...
Since many practical optimization problems are nonconvex, the global optimization methods are generally preferred. ...
doi:10.3389/fgene.2019.00549
pmid:31258548
pmcid:PMC6588029
fatcat:moxooil5argjhgcb6bpv7zz2gu
Stationary moments, diffusion limits, and extinction times for logistic growth with random catastrophes
2018
Journal of Theoretical Biology
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Numerically computing statistics along this limit shows how they transform as the dynamics shifts from catastrophes to diffusions, enabling quantitative comparisons. ...
A central problem in population ecology is understanding the consequences of stochastic fluctuations. ...
This heightened extinction risk has implications for the prioritization of conservations efforts in the face of different types of stochasticity. ...
doi:10.1016/j.jtbi.2018.06.007
pmid:29885410
pmcid:PMC6089642
fatcat:jtzxmu4ngjcklig7eaif3tn65m
Scalable Gaussian Process Computations Using Hierarchical Matrices
[article]
2019
arXiv
pre-print
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stochastic trace estimator. ...
n) complexity for a large range of models. ...
Department of Energy, Office of Science, Office of Advanced Scientific Computing Research (ASCR) under Contracts DE-AC02-06CH11347 and DE-AC02-06CH11357. ...
arXiv:1808.03215v2
fatcat:xghenzcphfajfmscbtoyc5wzcy
Comprehensive review of models and methods for inferences in bio-chemical reaction networks
[article]
2019
arXiv
pre-print
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In addition, a brief survey of general estimation strategies is provided to facilitate understanding of estimation methods which are used for BRNs. ...
The aim of this review paper is to explore developments of past decade to understand what BRN models are commonly used in literature, and for what inference tasks and inference methods. ...
Inference of state distributions via optimized histograms and statistical fitting is performed in (Atitey et al., 2018b) . ...
arXiv:1902.05828v1
fatcat:sjb4jm53a5h3jf2swbiz7vk6hu
Tensor Train for Global Optimization Problems in Robotics
[article]
2023
arXiv
pre-print
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2023 pre-print arXiv:2206.05077v3 fatcat:n42emm2r3ngs7c4fcs6uww3lsqOther Versions
The convergence of many numerical optimization techniques is highly dependent on the initial guess given to the solver. ...
We first transform the cost function, which depends on both task parameters and optimization variables, into a probability density function. ...
Swiss National Science Foundation through the LEARN-REAL project (https://learn-real.eu/, CHIST-ERA-17-ORMR-006) and by the European Commission's Horizon 2020 Programme through the MEMMO project (Memory of ...
arXiv:2206.05077v5
fatcat:ttjeuunk5rf2diibg57tk3kuka
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