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Survey of research on application of heuristic algorithm in machine learning
Tongxin xuebao, 2019 Aiming at the problems existing in the application of machine learning algorithm,an optimization system of the machine learning model based on the heuristic algorithm was constructed.Firstly,the existing types of heuristic algorithms and the modeling ...
Yanping SHEN +3 more
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A Hybrid Genetic-Hierarchical Algorithm for the Quadratic Assignment Problem
Entropy, 2021 In this paper, we present a hybrid genetic-hierarchical algorithm for the solution of the quadratic assignment problem. The main distinguishing aspect of the proposed algorithm is that this is an innovative hybrid genetic algorithm with the original ...
Alfonsas Misevičius, Dovilė Verenė
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Complex & Intelligent Systems, 2023 The influence maximization problem is one of the most fundamental topics in social networks. However, most existing studies have focused on non-attributed networks, neglecting the consideration of users’ properties during information propagation ...
Jun-Chao Liang +3 more
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Applied System Innovation, 2019 In engineering design, optimization methods are frequently used to improve the initial design of a product. However, the selection of an appropriate method is challenging since many methods exist, especially for the case of simulation-based optimization.
Doris Entner +6 more
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RWA: Optical Networks with Heuristics Algorithms
Dyna, 2016 The increase in demand for data transport through WDM (Wavelength Division Multiplexing) networks has led to the emerging problems related to finding routes and assigning wavelengths in these networks, which are solved through algorithmic processes ...
Arturo Benito Rodríguez Garcia +2 more
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IEEE Access, 2020 The Controller Placement Problem (CPP) is a key technical challenge in a large-scale Software Defined Network (SDN). Low-complexity heuristic algorithm is widely used for solving the CPP.
Yi Li +3 more
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Data Clustering on Breast Cancer Data Using Firefly Algorithm with Golden Ratio Method
Advances in Electrical and Computer Engineering, 2015 Heuristic methods are problem solving methods. In general, they obtain near-optimal solutions, and they do not take the care of provability of this case.
DEMIR, M., KARCI, A.
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The Survey of Algorithms for k-center Problem [PDF]
Zhengzhou Daxue xuebao. Gongxue banThe k-center problem is fundamental in facility siting, and is also an NP-hard problem with practical applications in the fields of distribution, emergency services, etc. However, with the expansion of the problem scale, the original algorithms were no
WANG Xiaofeng +4 more
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General Improvements of Heuristic Algorithms for Low Complexity DOA Estimation
International Journal of Antennas and Propagation, 2019 Heuristic algorithms are considered to be effective approaches for super-resolution DOA estimations such as Deterministic Maximum Likelihood (DML), Stochastic Maximum Likelihood (SML), and Weighted Subspace Fitting (WSF) which are involved in nonlinear ...
Haihua Chen +4 more
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Manufacturing Review, 2014 In this paper, a hybrid flow shop scheduling problem with a new approach considering time lags and sequence-dependent setup time in realistic situations is presented.
Farahmand-Mehr Mohammad +4 more
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