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Estimation of Distribution Algorithms for Knapsack Problem
Journal of Software, 2014 Estimation of distribution algorithms ( EDAs ) is a new kind of evolution algorithm. In EDAs , through the statistics of the information of selected individuals in current group, the probability of the individual distribution in next generation is given and the next generation of group is formed by random sampling. A wide range of mathematical model of
Shang Gao 0001, Ling Qiu, Cungen Cao
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Advances in Mechanical Engineering, 2016 In order to solve the reliability assessment of braking system component of high-speed electric multiple units, this article, based on two-parameter exponential distribution, provides the maximum likelihood estimation and Bayes estimation under a type-I ...
Jianwei Yang +4 more
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Multi-Objective Deep Network-Based Estimation of Distribution Algorithm for Music Composition
IEEE Access, 2022 In the field of evolutionary algorithm music composition, most of the current researches focus on how to enhance environmental selection based on multi-objective evolutionary algorithms (MOEAs).
Jae-Hun Jeong +3 more
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A Review on Estimation of Distribution Algorithms
, 2002 In this chapter, we review the Estimation of Distribution Algorithms proposed for the solution of combinatorial optimization problems and optimization in continuous domains. Different approaches for Estimation of Distribution Algorithms have been ordered by the complexity of the interrelations that they are able to express.
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Regularized continuous estimation of distribution algorithms
Applied Soft Computing, 2013 Regularization is a well-known technique in statistics for model estimation which is used to improve the generalization ability of the estimated model. Some of the regularization methods can also be used for variable selection that is especially useful in high-dimensional problems.
Karshenas, Hossein +3 more
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Smart Meter Measurement-Based State Estimation for Monitoring of Low-Voltage Distribution Grids
Energies, 2020 The installation of smart meters at customer premises provides opportunities for the monitoring of distribution grids. This paper addresses the problem of improving the observability of low-voltage distribution grids using smart metering infrastructure ...
Karthikeyan Nainar, Florin Iov
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Outage Detection for Distribution Networks Using Limited Number of Power Flow Measurements
Journal of Modern Power Systems and Clean Energy, 2020 Accurate topology estimation is crucial for effectively operating modern distribution networks. Line outages in a distribution network change the network topology by disconnecting some parts of the network from the main grid.
Basel Alnajjab +5 more
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International Journal of Electrochemical Science, 2020 A gaussian particle swarm optimized particle filter estimation method, along with the second-order resistance-capacitance model, is proposed for the state of charge estimation of lithium-ion battery in electric vehicles.
Xinyang Wang +5 more
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Low-complexity variable step-size sign algorithm based on Weibull distribution function
Dianxin kexue, 2018 The performance of the traditional second-order statistics based channel estimation methods degrade seriously in the presence of impulsive noises.In order to deal with this problem,a Weibull distribution function based variable step-size sign algorithm ...
Rui ZHANG +3 more
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Locating critical sliding surface of slopes by estimation of distribution algorithm
Shuiwen dizhi gongcheng dizhiMost of the optimization algorithms to solve the slope critical sliding surface have the disadvantages of complex structure, difficult to determine the parameter value, and poor optimization effect.
Qiuling LYU, Jianping WU, Donglin WANG
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