Search results for "Mathematical optimization"

showing 10 items of 1300 documents

Time-Dependent Multiple Depot Vehicle Routing Problem on Megapolis Network under Wardrop's Traffic Flow Assignment

2018

In this work multiple depot vehicle routing problem is considered in case of variable travel times between nodes on a metropolis network. This variant of the classic multiple depot vehicle routing problem is motivated by the fact that in urban contexts variable traffic conditions play an essential role and can not be ignored in order to perform a realistic optimization. Time-travel matrices corresponding to each period of planning horizon were formed by solving the traffic assignment problem in conjunction with shortest path problem. Routing problem instances include from 20 to 100 customers randomly chosen from a road network of Saint-Petersburg. The results demonstrate that taking into ac…

Mathematical optimizationroadsDepotComputer scienceTraffic Flow Assignment0211 other engineering and technologiesTime horizon02 engineering and technologylcsh:Telecommunicationoptimointilcsh:TK5101-67200502 economics and businessVehicle routing problemta113050210 logistics & transportationreititys021103 operations researchtiet05 social sciencesbiological system modelingTraffic flowMultiple Depot Vehicle Routing ProblemVariable (computer science)suunnitteluroutingShortest path problemTime-Dependent Routing ProblemRouting (electronic design automation)planningMegapolis NetworkAssignment problemvehicle routingoptimization
researchProduct

Seed Activation Scheduling for Influence Maximization in Social Networks

2018

This paper addresses the challenge of strategically maximizing the influence spread in a social network, by exploiting cascade propagators termed “seeds”. It introduces the Seed Activation Scheduling Problem (SASP) that chooses the timing of seed activation under a given budget, over a given time horizon, in the presence/absence of competition. The SASP is framed as a blogger-centric marketing problem on a two-level network, where the decisions are made to buy sponsored posts from prominent bloggers at calculated points in time. A Bayesian evidence diffusion model – the Partial Parallel Cascade (PPC) model – allows the network nodes to be partially activated, proportional to their accumulat…

Mathematical optimizationsocial networksInformation Systems and ManagementOperations researchStrategy and ManagementScheduling (production processes)Time horizon02 engineering and technologyBayesian evidenceManagement Science and Operations Researchvaikutteetscheduling (computing)seed selectionsosiaaliset verkostot020204 information systemsvuoronnus0202 electrical engineering electronic engineering information engineeringEconomicsColumn generationta113influencesJob shop schedulingSocial networkbusiness.industryMaximizationmarkkinointimarketing020201 artificial intelligence & image processingbusinessOmega
researchProduct

On risk sensitive control of regular step Markov processes

2001

Mathematical optimizationsymbols.namesakeApplied MathematicsStatisticssymbolsMarkov processRisk sensitiveControl (linguistics)Markov modelMathematicsApplicationes Mathematicae
researchProduct

A Study of Nash-Evolutionary Algorithms for Reconstruction Inverse Problems in Structural Engineering

2014

In this paper we deal with solving inverse problems in structural engineering (both the reconstruction inverse problem and the fully stressed design problem are considered). We apply a game-theory based Nash-evolutionary algorithm and compare it with the standard panmictic evolutionary algorithm. The procedure performance is analyzed on a ten bar sized test case of discrete real cross-section types structural frame, where a significant increase of performance is achieved using the Nash approach, even achieving super-linear speed-up.

Mathematical optimizationsymbols.namesakeBar (music)business.industryComputer scienceNash equilibriumStructural systemEvolutionary algorithmsymbolsStructural engineeringInverse problembusiness
researchProduct

A Boundary Control Approach to an Optimal Shape Design Problem

1989

Abstract We consider the problem of controlling the coincidence set in connection with an obstacle problem. We shall transform the obtained optimal shape design problem into a boundary control problem with Dirichlet boundary conditions.

Mathematical optimizationsymbols.namesakeBoundary conditions in CFDCutting stock problemDirichlet boundary conditionObstacle problemsymbolsFree boundary problemBoundary value problemMixed boundary conditionElliptic boundary value problemMathematicsIFAC Proceedings Volumes
researchProduct

Branch-and-Bound

2010

We now turn to the discussion of how to solve the linear ordering problem to (proven) optimality. In this chapter we start with the branch-and-bound method which is a general procedure for solving combinatorial optimization problems. In the subsequent chapters this approach will be realized in a special way leading to the so-called branch-and-cut method. There are further possibilities for solving the LOP exactly, e.g. by formulating it as dynamic program or as quadratic assignment problem, but these approaches did not lead to the implementation of practical algorithms and we will not elaborate on them here.

Mathematical optimizationsymbols.namesakeBranch and boundBundle methodQuadratic assignment problemComputer scienceLagrangian relaxationCombinatorial optimization problemsymbolsLinear ordering
researchProduct

Nash Equilibrium in a Road Network with Many Groups of Users

2019

In this chapter concentrates on the relationships between individual and group behaviour of drivers in a road network. Such relationships are established by comparing the optimal routing of drivers (system optimum of Wardrop), the competitive drivers’ groups routing (Nash equilibrium), and the selfish drivers routing (user equilibrium of Wardrop). Thus, the boundary conditions for traffic assignment in a road network were recently obtained for the first time. Wide analytical discussion on the topic as well as a survey of relevant references are presented. Moreover, a new behavioural model of traffic assignment in case of simultaneous selfish and group behaviour of drivers in a road network …

Mathematical optimizationsymbols.namesakeLinear networkSection (archaeology)Group (mathematics)Computer scienceNash equilibriumsymbolsBoundary value problemRouting (electronic design automation)Assignment problem
researchProduct

A Domain Decomposition/Nash Equilibrium Methodology for the Solution of Direct and Inverse Problems in Fluid Dynamics with Evolutionary Algorithms

2008

Mathematical optimizationsymbols.namesakeNash equilibriumGenetic algorithmFluid dynamicsEvolutionary algorithmA domainsymbolsDecomposition (computer science)Inverse problemMathematics
researchProduct

Atmospheric Turbulence Effects Removal on Infrared Sequences Degraded by Local Isoplanatism

2007

When observing an object horizontally at a long distance, degradations due to atmospheric turbulence often occur. Different methods have already been tested to get rid of this kind of degradation, especially on infrared sequences. It has been shown that the Wiener filter applied locally on each frame of a sequence allows to obtain good results in terms of edges, while the regularization by the Laplacian operator applied in the same way provides good results in terms of noise removal in uniform areas. In this article, we present hybrid methods which take advantages of both Wiener filter and Laplacian regularization.

Mathematical optimizationsymbols.namesakeSequenceInfraredFrame (networking)Wiener filtersymbolsAtmospheric turbulenceRegularization (mathematics)Laplace operatorAlgorithmMathematicsDegradation (telecommunications)
researchProduct

Deflation-Based FastICA With Adaptive Choices of Nonlinearities

2014

Deflation-based FastICA is a popular method for independent component analysis. In the standard deflation-base d approach the row vectors of the unmixing matrix are extracted one after another always using the same nonlinearities. In prac- tice the user has to choose the nonlinearities and the efficiency and robustness of the estimation procedure then strongly depends on this choice as well as on the order in which the components are extracted. In this paper we propose a novel adaptive two- stage deflation-based FastICA algorithm that (i) allows one to use different nonlinearities for different components and (ii) optimizes the order in which the components are extracted. Based on a consist…

Mathematical optimizationta112Asymptotic distribution020206 networking & telecommunications02 engineering and technology01 natural sciencesIndependent component analysis010104 statistics & probabilityNonlinear systemRobustness (computer science)Signal Processing0202 electrical engineering electronic engineering information engineeringFastICAEquivariant mapAffine transformation0101 mathematicsElectrical and Electronic EngineeringAlgorithmFinite setMathematicsIEEE Transactions on Signal Processing
researchProduct