Výsledky vyhledávání - "Kernel search algorithm"

Enhanced kernel search algorithm for optimizing local search capability and its application to carbon fiber draft process Autor Dong, Ruyi, Cui, Ran, Cai, Zhennao, Heidari, Ali Asghar, Liu, Lei, Liu, Yanan, Chen, Huiling

“…Kernel Search Optimization (KSO) is characterized by insufficient accuracy in local search, which makes it difficult to achieve local optimization. Therefore,…”
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A kernel search algorithm for virtual machine consolidation problem in cloud computing Autor Luo, Jiang-Yao, Yuan, Jian-Hua

“…Virtual machine consolidation refers to the process of reallocating virtual machines across a set of target servers. It can be formulated as a mixed integer…”
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Optimal scheduling of clean energy storage and charging integrated system by fusing DE algorithm and kernel search algorithm Autor Wang, Xinhua, Jia, Yujie, Su, Hao, Dang, Hua, Lu, Songfu

“…In the context of rapid developments in artificial intelligence and the clean energy industry, the optimal scheduling of clean energy storage and charging…”
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Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem Autor Dong, Ruyi, Chen, Huiling, Heidari, Ali Asghar, Turabieh, Hamza, Mafarja, Majdi, Wang, Shengsheng

“…In recent years, a variety of meta-heuristic nature-inspired algorithms have been proposed to solve complex optimization problems. However, these algorithms…”
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Enhanced kernel search optimizer with sand cat behavior and multi-strategy fusion for economic emission dispatch Autor Dong, Ruyi, Tang, Yingxin, Heidari, Ali Asghar, Cai, Zhennao, Chen, Huiling

“…As a new algorithm in recent years, the Kernel Search Optimization (KSO) algorithm employs kernel mapping to tackle optimization challenges, but this approach…”
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Multi-strategy enhanced kernel search optimization and its application in economic emission dispatch problems Autor Dong, Ruyi, Liu, Yanan, Wang, Siwen, Heidari, Ali Asghar, Wang, Mingjing, Chen, Yi, Wang, Shuihua, Chen, Huiling, Zhang, Yudong

“…The kernel search optimizer (KSO) is a recent metaheuristic optimization algorithm that is based on kernel theory, eliminating the need for hyper-parameter…”
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A Kernel Search Algorithm for Virtual Machine Consolidation Problem Autor Jiang-Yao, Luo, Jian-Hua, Yuan

“…Virtual machine consolidation describes the process of reallocation of virtual machines (VMs) on a set of target servers. It can be formulated as a mixed…”
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A heuristic for BILP problems: The Single Source Capacitated Facility Location Problem Autor Guastaroba, G., Speranza, M.G.

“…•We apply the Kernel Search to the Single Source Capacitated Facility Location Problem.•We find the optimal solution for 165 out of 170 instances with a proven…”
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A hypergraph multi-exchange heuristic for the single-source capacitated facility location problem Autor Tran, Trung Hieu, Scaparra, Maria Paola, O’Hanley, Jesse R.

“…•A novel multi-exchange heuristic is proposed for a classic facility location problem.•A very large scale neighborhood is searched using hypergraph…”
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A Kernel Search Matheuristic to Solve The Discrete Leader-Follower Location Problem Autor Santos-Peñate, Dolores R., Campos-Rodríguez, Clara M., Moreno-Pérez, José A.

“… We propose a matheuristic procedure that provides solutions for the leader via a kernel search algorithm…”
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Kernel Search for the Capacitated Vehicle Routing Problem Autor Borčinová, Zuzana

“… We present a matheuristic method for CVRP that adopts the main idea of the Kernel Search algorithm (KS…”
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A Location-Allocation Problem of Emergency Facilities Considering Multi-Resources Under Uncertainty Autor Cheng, Wei, Jia, Tao, Du, Ruojun, Lei, Dong

“…Due to the suddenness of disasters and the presence of multiple uncontrollable factors, such as the number of casualties, the availability of emergency relief…”
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Kernel Search for the Generalized Assignment Problem Autor Janosikova, L'Udmila

“…The generalized assignment problem is a classical optimization problem. Its modifications and extensions occur frequently in practical problems in the area of…”
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Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling Autor Zhao, Shifan, Lu, Jiaying, Yang, Ji, Chow, Edmond, Yuanzhe Xi

“…Gaussian Process Regression (GPR) is widely used in statistics and machine learning for prediction tasks requiring uncertainty measures. Its efficacy depends…”
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Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes Autor Kim, Hyunjik, Teh, Yee Whye

“… The Automatic Statistician takes a first step in this direction, by employing a kernel search algorithm with Gaussian Processes (GP…”
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A New Approach for Efficient Structure Discovery in IoT Autor Berns, Fabian, Schmidt, Kjeld, Grass, Alexander, Beecks, Christian

“…Complex, multivariate data streams frequently comprise subjacent behavioral patterns, which are subsumable by a process of statistical structure discovery…”
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Kernel Identification Through Transformers Autor Simpson, Fergus, Davies, Ian, Lalchand, Vidhi, Vullo, Alessandro, Durrande, Nicolas, Rasmussen, Carl

“… in under 0.1 seconds, which is several orders of magnitude faster than conventional kernel search algorithms…”
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