Results 21 to 30 of about 229,968 (264)
A novel ensemble estimation of distribution algorithm with distribution modification strategies
Complex & Intelligent Systems, 2023 The canonical estimation of distribution algorithm (EDA) easily falls into a local optimum with an ill-shaped population distribution, which leads to weak convergence performance and less stability when solving global optimization problems.
Xiaofei Wang +4 more
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Research on gas emission quantity prediction model based on EDA-IGA
Heliyon, 2023 In order to accurately predict the possible gas emission quantity in coal mines, it is proposed to use the multi-thread calculation of the Immune Genetic Algorithm (IGA) and injection of vaccines to improve the accuracy of prediction and combine the ...
Peng Ji, Shiliang Shi, Xingyu Shi
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A review of estimation of distribution algorithms in bioinformatics [PDF]
BioData Mining, 2008 Evolutionary search algorithms have become an essential asset in the algorithmic toolbox for solving high-dimensional optimization problems in across a broad range of bioinformatics problems. Genetic algorithms, the most well-known and representative evolutionary search technique, have been the subject of the major part of such applications. Estimation
Rubén Armañanzas +10 more
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An estimation of distribution algorithm for nurse scheduling [PDF]
Annals of Operations Research, 2007 Schedules can be built in a similar way to a human scheduler by using a set of rules that involve domain knowledge. This paper presents an Estimation of Distribution Algorithm (eda) for the nurse scheduling problem, which involves choosing a suitable scheduling rule from a set for the assignment of each nurse.
Uwe Aickelin, Jingpeng Li 0001
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An Estimation of Distribution Algorithm With Multi-Leader Search
IEEE Access, 2020 The estimation of distribution algorithm (EDA) is a well-known stochastic search method but is easily affected by the ill-shaped distribution of solutions and can thus become trapped in stagnation.
Xiaofei Wang, Tong Han, Hui Zhao
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IEEE Access, 2019 According to the Karush-Kuhn-Tucker condition, the Pareto set (PS) of a continuous m-objective optimization problem is a continuous (m-1)-D piecewise manifold.
Guanjun Du, Guoxiang Tong, Naixue Xiong
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Journal of Low Frequency Noise, Vibration and Active Control, 2021 This paper proposes a direction of arrival estimation based on sparse signal reconstruction in the presence of alpha noise by the off-grid orthogonal matching pursuit algorithm.
LongKai Liang +3 more
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Collaborative Optimization Design for Centralized Networked Control System
IEEE Access, 2021 This paper proposes a collaborative optimization design for a kind of centralized networked control system based on jitter. After the analysis of the network delay and jitter on the performance of the Train Networked Control System (TNCS) based on the ...
Xiang Yan, Jun Li, Bizhou Mei
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Cash flow prediction using artificial neural network and GA-EDA optimization [PDF]
Journal of Project Management, 2019 Cash flow models are one of the spotlights for evaluating a project. The actual data should be modeled then it could be used for the prediction process.
Mohsen Sadegh Amalnik +5 more
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Hybrid fuzzy charged system search algorithm based state estimation in distribution networks
Engineering Science and Technology, an International Journal, 2017 This paper proposes a new hybrid charged system search (CSS) algorithm based state estimation in radial distribution networks in fuzzy framework. The objective of the optimization problem is to minimize the weighted square of the difference between the ...
Sachidananda Prasad, D.M. Vinod Kumar
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