Suchergebnisse - "HEURISTIC algorithms"

Minimum Distance and Minimum Time Optimal Path Planning With Bioinspired Machine Learning Algorithms for Faulty Unmanned Air Vehicles von Tutsoy, Onder, Asadi, Davood, Ahmadi, Karim, Nabavi-Chashmi, Seyed Yaser, Iqbal, Jamshed

“… Unmanned air vehicles operate in highly dynamic and unknown environments where they can encounter unexpected and unseen failures. In the presence of …”
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Iterated Greedy Algorithms for Flow-Shop Scheduling Problems: A Tutorial von Zhao, ZiYan, Zhou, MengChu, Liu, ShiXin

“… An iterated greedy algorithm (IGA) is a simple and powerful heuristic algorithm. It is widely used to solve flow-shop scheduling problems (FSPs), an important …”
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Path Planning for Autonomous Underwater Vehicles Under the Influence of Ocean Currents Based on a Fusion Heuristic Algorithm von Wen, Jiabao, Yang, Jiachen, Wang, Tianying

“… Recently, research on path planning for the autonomous underwater vehicles (AUVs) has developed rapidly. Heuristic algorithms have been widely used to plan a …”
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Meta-Heuristic Optimization Algorithms for Resource Allocation in 5G New Radio Networks von Jyoti, Noliya, Amandeep, Kumar, Dharmender

“… The objective of this research paper is to evaluate effectiveness of various resource allocation algorithms currently used in 5G new radio networks. Due to …”
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Application-Aware Dynamic Fine-Grained Resource Provisioning in a Virtualized Cloud Data Center von Bi, Jing, Yuan, Haitao, Tan, Wei, Zhou, MengChu, Fan, Yushun, Zhang, Jia, Li, Jianqiang

“… A key factor of win-win cloud economy is how to trade off between the application performance from customers and the profit of cloud providers. Current …”
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Trusted Multi-View Classification With Dynamic Evidential Fusion von Han, Zongbo, Zhang, Changqing, Fu, Huazhu, Zhou, Joey Tianyi

“… Existing multi-view classification algorithms focus on promoting accuracy by exploiting different views, typically integrating them into common representations …”
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Research on reactor refueling optimization using KAADPN integrated probability distribution guided heuristic algorithm von Sun, Yanpeng, Ma, Xubo

“… This study addresses the refueling optimization problem for reactors, selecting the effective multiplication factor as the metric for evaluating loading …”
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Honey Badger Algorithm: New metaheuristic algorithm for solving optimization problems von Hashim, Fatma A., Houssein, Essam H., Hussain, Kashif, Mabrouk, Mai S., Al-Atabany, Walid

“… Recently, the numerical optimization field has attracted the research community to propose and develop various metaheuristic optimization algorithms. This …”
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Efficient Routing for Multi-Truck Multi-Drone Package Delivery with Precedence Constraints von Bai, Xiaoshan, Li, Baode, Li, Jianqiang, Wu, Zongze, Zhang, Weidong, Ge, Shuzhi Sam

“… As the demand for efficient parcel delivery continues to grow in the logistics industry, optimizing multi-robot task assignment has become crucial for …”
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Stochastic Task Scheduling in UAV-Based Intelligent On-Demand Meal Delivery System von Huang, Haiping, Hu, Chengxi, Zhu, Jie, Wu, Min, Malekian, Reza

“… In this paper, we investigate the dynamic task scheduling problem with stochastic task arrival times and due dates in the UAV-based intelligent on-demand meal …”
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Optimization of Crowd Evacuation With Leaders in Urban Rail Transit Stations von Zhou, Min, Dong, Hairong, Zhao, Yanbo, Ioannou, Petros A., Wang, Fei-Yue

“… The adoption of passenger leaders could make crowd evacuation in urban railway transit (URT) stations more efficient. The number, location, and the actions of …”
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Joint Wireless and Edge Computing Resource Management With Dynamic Network Slice Selection von Josilo, Sladana, Dan, Gyorgy

“… Network slicing is a promising approach for enabling low latency computation offloading in edge computing systems. In this paper, we consider an edge computing …”
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Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges von Chen, Xin, Qu, Guannan, Tang, Yujie, Low, Steven, Li, Na

“… With large-scale integration of renewable generation and distributed energy resources, modern power systems are confronted with new operational challenges, …”
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Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images von Cai, Jianrui, Gu, Shuhang, Zhang, Lei

“… Due to the poor lighting condition and limited dynamic range of digital imaging devices, the recorded images are often under-/over-exposed and with low …”
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A synchronization methodology for 3D offshore wind farm layout optimization with multi-type wind turbines and obstacle-avoiding cable network von Wu, Yan, Xia, Tianqi, Wang, Yufei, Zhang, Haoran, Feng, Xiao, Song, Xuan, Shibasaki, Ryosuke

“… Offshore wind farms are increasingly becoming the focus of clean sources market because of the huge energy potential and fast-maturing technology. The existing …”
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Optimization based on the smart behavior of plants with its engineering applications: Ivy algorithm von Ghasemi, Mojtaba, Zare, Mohsen, Trojovský, Pavel, Rao, Ravipudi Venkata, Trojovská, Eva, Kandasamy, Venkatachalam

“… This study presents a powerful and new modeling variant of bio-inspired algorithms, namely, the Ivy algorithm (IVYA), drawn from the growth patterns of Ivy …”
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A comprehensive review on meta-heuristic algorithms and their classification with novel approach von Hojatollah Rajabi Moshtaghi, Abbas Toloie Eshlaghy, Mohammad Reza Motadel

“… Conventional and classical optimization methods are not efficient enough to deal with complicated, NP-hard, high-dimensional, non-linear, and hybrid problems …”
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Multi-Objective Multi-Picking-Robot Task Allocation: Mathematical Model and Discrete Artificial Bee Colony Algorithm von Dai, Lou-Lei, Pan, Quan-Ke, Miao, Zhong-Hua, Suganthan, Ponnuthurai Nagaratnam, Gao, Kai-Zhou

“… With the advent of agriculture 4.0 era, the combination of agriculture and unmanned technology has promoted the development of intelligent agriculture …”
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Optimization based on performance of lungs in body: Lungs performance-based optimization (LPO) von Ghasemi, Mojtaba, Zare, Mohsen, Zahedi, Amir, Trojovský, Pavel, Abualigah, Laith, Trojovská, Eva

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Dynamic Event-Triggered and Self-Triggered Control for Multi-agent Systems von Yi, Xinlei, Liu, Kun, Dimarogonas, Dimos V., Johansson, Karl H.

“… We propose two novel dynamic event-triggered control laws to solve the average consensus problem for first-order continuous-time multiagent systems over …”
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