Výsledky vyhľadávania - "Distribution algorithm"

An improved differential evolution by hybridizing with estimation-of-distribution algorithm Autor Li, Yintong, Han, Tong, Tang, Shangqin, Huang, Changqiang, Zhou, Huan, Wang, Yuan

“…To fully exploit the strong exploitation of differential evolution (DE) and the strong exploration of the estimation-of-distribution algorithm (EDA), an…”
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An Estimation of Distribution Algorithm With Cheap and Expensive Local Search Methods Autor Zhou, Aimin, Sun, Jianyong, Zhang, Qingfu

“…In an estimation of distribution algorithm (EDA), global population distribution is modeled by a probabilistic model, from which new trial solutions are…”
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The Univariate Marginal Distribution Algorithm Copes Well with Deception and Epistasis Autor Doerr, Benjamin, Krejca, Martin S

“…In their recent work, Lehre and Nguyen (2019) show that the univariate marginal distribution algorithm (UMDA) needs time exponential in the parent populations…”
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A hybrid estimation of distribution algorithm for distributed flexible job shop scheduling with crane transportations Autor Du, Yu, Li, Jun-qing, Luo, Chao, Meng, Lei-lei

“…•A hybrid algorithm of estimation of distribution algorithm (EDA) and variable neighborhood search (VNS) is proposed to solve the distributed flexible job shop…”
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An estimation of distribution algorithm for lot-streaming flow shop problems with setup times Autor Pan, Quan-Ke, Ruiz, Rubén

“…Lot-streaming flow shops have important applications in different industries including textile, plastic, chemical, semiconductor and many others. This paper…”
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An evolutionary fuzzy scheduler for multi-objective resource allocation in fog computing Autor Wu, Chu-ge, Li, Wei, Wang, Ling, Zomaya, Albert Y.

“…With rapid development of the Internet of Things (IoT), a vast amount of raw data produced by IoT devices needs to be processed promptly. Compared to cloud…”
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Level-Based Analysis of Genetic Algorithms and Other Search Processes Autor Corus, Dogan, Dang, Duc-Cuong, Eremeev, Anton V., Lehre, Per Kristian

“…Understanding how the time complexity of evolutionary algorithms (EAs) depend on their parameter settings and characteristics of fitness landscapes is a…”
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An Estimation of Distribution Algorithm for Mixed-Variable Newsvendor Problems Autor Wang, Feng, Li, Yixuan, Zhou, Aimin, Tang, Ke

“…As one of the classical problems in the economic market, the newsvendor problem aims to make maximal profit by determining the optimal order quantity of…”
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An Estimation of Distribution Algorithm Based on Variational Bayesian for Point-Set Registration Autor Cao, Hualong, He, Qiqi, Wang, Haifeng, Xiong, Zenghui, Zhang, Ni, Yang, Yang

“…Point-set registration is widely used in computer vision and pattern recognition. However, it has become a challenging problem since the current registration…”
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An efficient mixture sampling model for gaussian estimation of distribution algorithm Autor Dang, Qianlong, Gao, Weifeng, Gong, Maoguo

“…Estimation of distribution algorithm (EDA) is a stochastic optimization algorithm based on probability distribution model and has been widely applied in global…”
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A cooperative coevolution algorithm for multi-objective fuzzy distributed hybrid flow shop Autor Zheng, Jie, Wang, Ling, Wang, Jing-jing

“…With consideration of uncertainty in the distributed manufacturing systems, this paper addresses a multi-objective fuzzy distributed hybrid flow shop…”
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Multimodal Estimation of Distribution Algorithms Autor Qiang Yang, Wei-Neng Chen, Yun Li, Chen, C. L. Philip, Xiang-Min Xu, Zhang, Jun

“…Taking the advantage of estimation of distribution algorithms (EDAs) in preserving high diversity, this paper proposes a multimodal EDA. Integrated with…”
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Scheduling of stochastic distributed hybrid flow-shop by hybrid estimation of distribution algorithm and proximal policy optimization Autor Luo, Lin, Yan, Xuesong

“…Flexible manufacturing systems face major challenges in improving productivity when dealing with uncertain factors. Consequently, it is crucial to address…”
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Surrogate-Assisted Hybrid-Model Estimation of Distribution Algorithm for Mixed-Variable Hyperparameters Optimization in Convolutional Neural Networks Autor Li, Jian-Yu, Zhan, Zhi-Hui, Xu, Jin, Kwong, Sam, Zhang, Jun

“…The performance of a convolutional neural network (CNN) heavily depends on its hyperparameters. However, finding a suitable hyperparameters configuration is…”
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An evolutionary algorithm based on fully connected weight networks for mixed-variable multi-objective optimization Autor Dong, Nanjiang, Zhang, Tao, Wang, Rui, Liao, Xiangke, Wang, Ling

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Knowledge-Based Reinforcement Learning and Estimation of Distribution Algorithm for Flexible Job Shop Scheduling Problem Autor Du, Yu, Li, Jun-qing, Chen, Xiao-long, Duan, Pei-yong, Pan, Quan-ke

“…Inthis study, a flexible job shop scheduling problem with time-of-use electricity price constraint is considered. The problem includes machine processing…”
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Shared manufacturing-based distributed flexible job shop scheduling with supply-demand matching Autor Wei, Guangyan, Ye, Chunming, Xu, Jianning

“…•Shared manufacturing integrates resources into a set with defined service types.•The matching of supply and demand is completed by abstractly representing…”
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Balancing exploration and exploitation in multiobjective evolutionary optimization Autor Zhang, Hu, Sun, Jianyong, Liu, Tonglin, Zhang, Ke, Zhang, Qingfu

“…The tradeoff between exploration and exploitation is critical to the performance of an evolutionary algorithm. Different levels of exploration-exploitation…”
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A Novel QKD Approach to Enhance IIOT Privacy and Computational Knacks Autor Singamaneni, Kranthi Kumar, Dhiman, Gaurav, Juneja, Sapna, Muhammad, Ghulam, AlQahtani, Salman A., Zaki, John

“…The industry-based internet of things (IIoT) describes how IIoT devices enhance and extend their capabilities for production amenities, security, and efficacy…”
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A coevolutionary estimation of distribution algorithm based on dynamic differential grouping for mixed-variable optimization problems Autor Huang, Shijia, Wang, Zhe, Ge, Yang, Wang, Feng

“…The mixed variable optimization problems (MVOPs), which involves both continuous and discrete decision variables, are difficult to be solved due to the complex…”
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