Suchergebnisse - "genetic programming algorithm"

A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules von Nguyen, Su, Mei, Yi, Xue, Bing, Zhang, Mengjie

“… This article develops a new hybrid genetic programming algorithm for dynamic job shop scheduling based on a new representation, a new local search …”
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A Divide-and-Conquer Genetic Programming Algorithm With Ensembles for Image Classification von Bi, Ying, Xue, Bing, Zhang, Mengjie

“… Genetic programming (GP) has been applied to feature learning in image classification and achieved promising results. However, one major limitation of existing …”
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A Multi-Objective Genetic Programming Algorithm With α Dominance and Archive for Uncertain Capacitated Arc Routing Problem von Wang, Shaolin, Mei, Yi, Zhang, Mengjie

“… In this article, we propose a new multiobjective genetic programming algorithm …”
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A reinforcement learning-assisted genetic programming algorithm for team formation problem considering person-job matching von Guo, Yangyang, Wang, Hao, He, Lei, Pedrycz, Witold, Suganthan, Ponnuthurai Nagaratnam, Xing, Lining, Song, Yanjie

“… Efficient team formation is crucial for successful completion of new projects in a company. To address the team formation problem considering person-job …”
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Knowledge-transfer based genetic programming algorithm for multi-objective dynamic agile earth observation satellite scheduling problem von Wei, Luona, Chen, Ming, Xing, Lining, Wan, Qian, Song, Yanjie, Chen, Yuning, Chen, Yingwu

“… The multi-objective dynamic agile earth observation satellite scheduling problem (MO-DAEOSSP) aims to schedule a set of real-time arrival requests and form a …”
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A novel strongly-typed Genetic Programming algorithm for combining sentiment and technical analysis for algorithmic trading von Christodoulaki, Eva, Kampouridis, Michael, Kyropoulou, Maria

“… In this paper, we examine the advantages of combining indicators from both technical and sentiment analysis through a novel genetic programming algorithm, named STGP-SATA …”
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Predicting the bulk drag coefficient of flexible vegetation in wave flows based on a genetic programming algorithm von Wang, Yanxu, Yin, Zegao, Liu, Yong

“… The prediction of the bulk drag coefficient (CD) for aquatic vegetation is of great significance for evaluating the influence of vegetation on the hydrodynamic …”
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Estimation of COVID-19 epidemic curves using genetic programming algorithm von Anđelić, Nikola, Baressi Šegota, Sandi, Lorencin, Ivan, Mrzljak, Vedran, Car, Zlatan

“… This paper investigates the possibility of the implementation of Genetic Programming (GP) algorithm on a publicly available COVID-19 data set, in order to …”
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Estimation of COVID-19 Epidemiology Curve of the United States Using Genetic Programming Algorithm von Anđelić, Nikola, Šegota, Sandi Baressi, Lorencin, Ivan, Jurilj, Zdravko, Šušteršič, Tijana, Blagojević, Anđela, Protić, Alen, Ćabov, Tomislav, Filipović, Nenad, Car, Zlatan

“… Estimation of the epidemiology curve for the COVID-19 pandemic can be a very computationally challenging task. Thus far, there have been some implementations …”
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A Multi-population genetic programming algorithm to model estimation for LLC resonant converter von Liao, Yuefeng, Wang, Zhiqiang, Bi, Ying, Liang, Jing, Han, Xiao

“… An accurate model of the LLC resonant converter, serving as a critical energy conversion stage in new energy storage converters, plays a pivotal role in its …”
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Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers von Moyano, Jose M., Ventura, Sebastián

“… Multi-label classification has been used to solve a wide range of problems where each example in the dataset may be related either to one class (as in …”
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A machine learning-based genetic programming algorithm for the stochastic resource-constrained project scheduling problem with 3D workspaces and carbon emissions von Liu, Hao, Zhang, Jingwen, Demeulemeester, Erik, Chen, Zhi

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On the application of symbolic regression in the energy sector: Estimation of combined cycle power plant electrical power output using genetic programming algorithm von Anđelić, Nikola, Lorencin, Ivan, Mrzljak, Vedran, Car, Zlatan

“… This paper focuses on the estimation of electrical power output (Pe) in a combined cycle power plant (CCPP) using ambient temperature (AT), vacuum in the …”
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A hybrid genetic programming algorithm for the distributed assembly scheduling problems with transportation and sequence-dependent setup times von Deng, Jiawen, Zhang, Jihui, Yang, Shengxiang

“… This paper investigates a distributed assembly permutation flow-shop scheduling problem with transportation and sequence-dependent set-up times (DAPFSP-TSDST) …”
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The Train Delay Model Developed by the Genetic Programming Algorithm von Brandejsky, Tomas

“… The paper discusses the problem of probability distribution category identification of train delay data by a genetic programming algorithm …”
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Frequency component mixing of pulsed or multi-frequency eddy current testing for nonferromagnetic plate thickness measurement using a multi-gene genetic programming algorithm von Ge, Jiuhao, Yusa, Noritaka, Fan, Mengbao

“… For the efficient use of frequency components, a frequency mixed feature for pulsed eddy current testing (PECT) or multi-frequency eddy current testing …”
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Quantum-Inspired Genetic Programming Algorithm for the Crude Oil Scheduling of a Real-World Refinery von Pereira, Cristiane Salgado, Dias, Douglas Mota, Pacheco, Marco Aurelio Cavalcanti, Vellasco, Marley M. B. Rebuzzi, Abs da Cruz, Andre Vargas, Hollmann, Estefane Horn

“… Refinery scheduling comprises a group of decisions that aims to optimize asset allocation, activity sequencing, and the time-related realization of those …”
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Automatic differential equations identification by self-configuring genetic programming algorithm von Karaseva, T S

“… The current approach allows automatic determining the structure of a differential equation via the usage of the self-configuring genetic programming algorithm …”
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Self-configuring genetic programming algorithm for solving symbolic regression problems von Karaseva, T S, Mitrofanov, S A

“… In most cases, the only way to study and solve practical problems is to investigate them with the help of models. However, this method is also to be a …”
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G3P-MI: A genetic programming algorithm for multiple instance learning von Zafra, Amelia, Ventura, Sebastián

“… This paper introduces a new Grammar-Guided Genetic Programming algorithm for resolving multi-instance learning problems …”
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