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Fuzzy simulated evolution algorithm for topology design of campusnetworks
Published 2000“…Results show that on all test cases the simulated evolution algorithm exhibits more intelligent search of the solution subspace and was able to find better solutions than simulated annealing…”
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A new simulated annealing-based tabu search algorithm for unitcommitment
Published 1997“…The algorithm integrates the use of simulated annealing (SA) and tabu search (TS) for solving the UCP. …”
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Iterative RBF neural networks as metamodels of stochastic simulations
Published 2017“…In fact, for the evaluation of the quality of a ball steel, RBF metamodel trained on 1521 training examples from a set of 13000 different simulation runs and was able to outperform direct simulation on 120 additional test examples which were not included in the training set.…”
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A Simulated Annealing Algorithm for System-on-Chip Test Scheduling with, Power and Precedence Constraints
Published 2006“…We present experimental results for various SOC examples that demonstrate the effectiveness of the method. …”
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Method for simulator and scenario design assessing cognitive aspects of fitness to drive
Published 2015“…Each scenario of the simulator drive was designed to enable assessment of these cognitive abilities. …”
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AGENT-BASED SIMULATION FOR UNIVERSITY STUDENTS ADMISSION: MEDICAL COLLEGES IN JORDAN UNIVERSITIES
Published 2023“…In this paper, the authors will use an Agent Based model (ABM) to simulate different scenarios by using Netlogo software (v. 6.3). …”
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Simulating local fields in carbon nanotube-reinforced composites for infinite strip with voids
Published 2022“…<p>A numerical simulation of the thermal properties is conducted for an isotropic and homogeneous infinite strip composite reinforced by carbon nanotubes (CNTs) and containing voids. …”
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Efficient automatic watershed delineation tool. (c1999)
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Geochemical equilibrium determination using an artificial neural network in compositional reservoir flow simulation
Published 2019“…., CO<sub>2</sub> storage in a depleted reservoir or a saline aquifer. To simulate such reactive transfer processes, geochemical equations (equilibrium and kinetics equations) are coupled with compositional flows in porous media in order to represent, for example, precipitation/dissolution phenomena. …”
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Agent-Based Modelling and Simulation of Crowd Evacuation: Case Study for Electric Train Cabin
Published 2023“…The agent-based simulation is a cutting-edge example of a fresh and clever technique intended to fulfil these goals. …”
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Laboratory simulation of irrigation-induced settlement of collapsible desert soils under constant surcharge
Published 2017“…To help address the problem, an opportunity has been taken to develop a laboratory method of simulating the loaded behavior of collapsible soils in varying situations and to measure its deformation at constant surcharge and ground water infiltration rates. …”
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Analyzing Competing Risks with Progressively Type-IICensored Data in Dagum Distributions
Published 2025“…The performance of the proposed methods is evaluated through Monte Carlo simulations, and their applicability is demonstrated with a real-world example.…”
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GIS-BIM Based Regional Seismic Risk Assessment for Dubai, UAE
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Empirical comparison of regression test selection algorithms
Published 2001“…The empirical results show that the five algorithms can be used for different requirements of regression testing. For example the Simulated Annealing algorithm can be used for emergency non-safety-critical maintenance situations with a large number of small modifications.…”
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Parallel physical optimization algorithms for allocating data to multicomputer nodes
Published 1994“…Three parallel physical optimization algorithms for allocating irregular data to multicomputer nodes are presented. They are based on simulated annealing, neural networks and genetic algorithms. …”
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Allocating data to multicomputer nodes by physical optimization algorithms for loosely synchronous computations
Published 1992“…Three optimization methods derived from natural sciences are considered for allocating data to multicomputer nodes. These are simulated annealing, genetic algorithms and neural networks. …”
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