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method algorithm » mould algorithm (Expand Search)
mining algorithm » cosine algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
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Nonlinear analysis of shell structures using image processing and machine learning
Published 2023“…In general, such problems in design optimisation or virtual reality applications must be solved repetitively in a short period using direct methods such as nonlinear finite element analysis. …”
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Stochastic optimal power flow framework with incorporation of wind turbines and solar PVs using improved liver cancer algorithm
Published 2024“…<p dir="ltr">The present study introduces a nature inspired improved liver cancer algorithm (ILCA) for solving the non‐convex engineering optimization issues. …”
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Fuzzy genetic algorithm for floorplanning
Published 2020“…Genetic algorithms (GAs) have been found to be very effective in solving numerous optimization problems, especially those with many (possibly) conflicting and noisy objectives. …”
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Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
Published 2024“…The IPDOA performance was compared with the other 8 metaheuristic optimization algorithms and the testing showed its superiority over those techniques for solving this complex problem. …”
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Stochastic Search Algorithms for Exam Scheduling
Published 2007“…A good exam schedule should aim to minimize conflicts and the two unfairness factors based on user-assigned weights to these three factors and subject to some constraints such as classrooms’ number and capacities. In this work, we use a modified weighted-graph coloring problem formulation and adapt two stochastic search algorithms for solving the problem. …”
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A simulated annealing algorithm for unit commitment
Published 1998“…This paper presents a simulated annealing algorithm (SAA) to solve the unit commitment problem (UCP). …”
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93
A kernelization algorithm for d-Hitting Set
Published 2010“…For 3-Hitting Set, an arbitrary instance is reduced into an equivalent one that contains at most 5k2+k elements. This kernelization is an improvement over previously known methods that guarantee cubic-order kernels. …”
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An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling
Published 2016“…The work presented in thesis add to the existing literature in a proposing the use of a genetic algorithm uncertain approach to resource- scheduling in projects. …”
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Artificial neural network algorithms. (c1999)
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96
An L2 Gap Metric Identification Algorithm
Published 2020“…Each iteration of the algorithm involves solving a weighted least squares approximation problem. …”
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97
Natural optimization algorithms for optimal regression testing
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98
Scalable parallel algorithms for difficult combinatorial problems
Published 2004“…A novel combination of emergent algorithmic methods, powerful computational platforms and supporting infrastructure is described. …”
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99
A New Parallel Genetic Algorithm Model
Published 2020“…This paper presents an implementation of three Genetic Algorithm models for solving a reliability optimization problem for a redundancy system with several failure modes, a modification on a parallel a genetic algorithm model and a new parallel genetic algorithm model. …”
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A Machine Learning Approach to Predicting Diabetes Complications
Published 2021Get full text
doctoralThesis