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301
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A Stochastic Approach To Solving The Weight Setting Problem in OSPF Networks
Published 2007“…In this thesis, a prudent approach of mitigating the mentioned problem by using a Stochastic Evolution (StocE) heuristic is used which provides a close to optimal solution to these kinds of problems. …”
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masterThesis -
303
A combinatorial auction‐based approach for ridesharing in a student transportation system
Published 2023“…A hybrid heuristic-based optimization framework, that takes advantage of meta-heuristic algorithms to improve an initial solution, is also developed to solve large-sized instances of the problem. …”
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304
An efficient method for the open-shop scheduling problem using simulated annealing
Published 2016“…The method is based on a simulated annealing algorithm that efficiently explores the solution space. …”
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305
Failure recovery in wireless content distribution networks with device-to-device cooperation
Published 2017“…Device-to-device cooperation has emerged as a prominent solution to a wide range of challenges in large-scale wireless networks. …”
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306
A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem
Published 2021“…Due to the complex nature of the capacitated vehicle routingproblem, metaheuristic optimization algorithms are widely used for tackling this type of challenge.Coronavirus Herd Immunity Optimizer (CHIO) is a recent metaheuristic population-based algorithm thatmimics the COVID-19 herd immunity treatment strategy. …”
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307
A Stochastic Approach To Solving The Weight Setting Problem in OSPF Networks
Published 2007“…In this thesis, a prudent approach of mitigating the mentioned problem by using a Stochastic Evolution (StocE) heuristic is used which provides a close to optimal solution to these kinds of problems. …”
Get full text
masterThesis -
308
COMPUTER AIDED PROGRAMMING EDUCATION (CAPE)
Published 2020“…CAPE consists of problem definition and algorithm construction modules. Algorithm construction module is currently supported with a facility to map an algorithm(s) into FORTRAN or Pascal code. …”
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309
Three approaches to modelling heating and evaporation of monocomponent droplets
Published 2024“…In the third approach, the same algorithm as in the second approach is used to calculate the heat rate but the mass evaporation rate in this approach is inferred from the coupled solution to the momentum, mass and energy conservation equations in the gas phase; the gas mixture density in this approach depends on temperature. …”
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310
Implementation of a Multivariable Modular Structure for Fuzzy Taxi Scheduling System (FTSS)
Published 2014“…Fuzzy logic can be utilized to deal with such uncertainty in the information. Genetic algorithm can be utilized for optimization of solution. …”
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311
SPACECRAFT SPIN AXIS ATTITUDE DETERMINATION
Published 2020“…This paper provides a mathematical formulation and two solution algorithms of the problem of spacecraft spin axis attitude determination from noisy measurements.The two developed algorithms are compared through digital simulation and their relative merits in terms of estimation accuracy and computational requirements are discussed.…”
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312
The Use of Enumerative Techniques in Topological Optimization of Computer Networks Subject to Fault Tolerance and Reliability
Published 2003“…In this paper, we propose one algorithm for optimizing the terminal reliability and another for optimizing the network reliability while improving the fault tolerance aspects of the designed networks. …”
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313
Reliability and fault tolerance based topological optimization of computer networks - part I: enumerative techniques
Published 2003“…Existing enumeration-based techniques for solving this network optimization problem ignore the fault-tolerance aspect in their solution. We consider fault tolerance to be an important network design aspect In this paper, we propose one algorithm for optimizing the terminal reliability and another for optimizing the network reliability while improving the fault tolerance aspects of the designed networks. …”
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314
A Modified Oppositional Chaotic Local Search Strategy Based Aquila Optimizer to Design an Effective Controller for Vehicle Cruise Control System
Published 2023“…We show the CmOBL-AO algorithm to perform better than the differential evolution algorithm, gravitational search algorithm, African vultures optimization, and the Aquila Optimizer using well-known unimodal, multimodal benchmark functions. …”
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315
Tabu Search For A Class Of Single-Machine Scheduling Problems
Published 2020“…The performance of the developed algorithm is tested for solving the variance minimization problem. …”
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316
Optimal shunt compensators at nonsinusoidal busbars
Published 1995“…The Direct Search Polytope algorithm is used. The solution of this model yields an optimal shunt LC compensator for the nonlinear load. …”
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317
A linear programming approach for the weighted graph matchingproblem
Published 1993“…The linear program is solved using a simplex-based algorithm. Then, approximate 0-1 integer solutions are obtained by applying the Hungarian method on the real solutions of the linear program. …”
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318
Developing a framework for using face recognition in transit payment transactions
Published 2021“…A number of combined algorithms and classifiers are proposed to use in this solution based on the encouraging outcomes observed from the systematic literature review and experts’ survey, including Local Binary Pattern descriptor, Haar-Like Descriptor, Ada Boost, Cascade classifiers, Affine Transformation, Histogram Equalization, Gaussian Filter, Principal Component Analysis which are embedded in OpenCV or MATLAB application. …”
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319
A SEQUENCING PROBLEM IN THE WEAVING INDUSTRY
Published 2020“…The structure of the set-up cost is utilized to develop a polynomial time solution algorithm. The algorithm involves computing the shortest path of a network. …”
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320
The maximum common subgraph problem
Published 2017“…With its plethora of applications, MCS is a familiar and challenging problem. Many algorithms exist that can deliver optimal MCS solutions, but whose asymptotic worst-case run times fail to do better than mere brute-force, which is exponential in the order of the smaller graph. …”
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