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An adaptive large neighborhood search for the multi-point dynamic aggregation problem

Control Theory and Technology 2024年第3期22卷 360-378页

作者： Shengyu Lu Bin Xin Jie Chen Miao Guo School of Automation Beijing Institute of TechnologyBeijing 100081China National Key Lab of Autonomous Intelligent Unmanned Systems Beijing 100081China Department of Control Science and Engineering Tongji UniversityShanghai 201804China

The multi-point dynamic aggregation(MPDA)problem is a challenging real-world *** the MPDA problem,the demands of tasks keep changing with their inherent incremental rates,while a heterogeneous robot fleet is required to travel between these tasks to change the time-varying state of each *** robots are allowed to collaborate on the same task or work separately until all tasks are *** is challenging to generate an effective task execution plan due to the tight coupling between robots abilities and tasks'incremental rates,and the complexity of robot *** effectiveness consideration,we use the variable length encoding to avoid redundancy in the solution *** creatively use the adaptive large neighborhood search(ALNS)framework to solve the MPDA *** the proposed algorithm,high-quality initial solutions are generated through multiple problem-specific solution construction *** heuristics are also used to fix the broken solution in the novel integrated decoding-construction repair process of the ALNS *** results of statistical analysis by the Wilcoxon rank-sum test demonstrate that the proposed ALNS can obtain better task execution plans than some state-of-the-art algorithms in most MPDA instances.

关键词： Adaptive large neighborhood search(ALNS) Multi-point dynamic aggregation(MPDA) heuristic solution construction Multi-robot collaboration

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heuristic solutions of Virtual Network Embedding： A Survey

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China Communications 2018年第3期15卷 186-219页

作者： Haotong Cao Han Hu Zhicheng Qu Longxiang Yang College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing 210003 China College of lntemet of Things Nanjing University of Posts and Telecommunications Nanjing 210003 China Jiangsu Key Laboratory of Wireless Communications Nanjing University of Posts and Telecommunications Nanjing 210003 China

Network virtualization(NV) is considered as an enabling tool to remove the gradual ossification of current Internet. In the network virtualization environment, a set of heterogeneous virtual networks(VNs), isolated from each other, share the underlying resources of one or multiple substrate networks(SNs) according to the resource allocation strategy. This kind of resource allocation strategy is commonly known as so called Virtual Network Embedding(VNE) algorithm in network virtualization. Owing to the common sense that VNE problem is NP-hard in nature, most of VNE algorithms proposed in the literature are heuristic. This paper surveys and analyzes a number of representative heuristic solutions in the literature. Apart from the analysis of representative heuristic solutions, a taxonomy of the heuristic solutions is also presented in the form of table. Future research directions of VNE, especially for the heuristics, are emphasized and highlighted at the end of this survey.

关键词： network virtualization virtual net-work embedding NP-hard heuristic solution

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Maximal Simultaneous Users Code Set Selection in FO-CDMA using Genetic Algorithm

Maximal Simultaneous Users Code Set Selection in FO-CDMA usi...

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1999 International Conference on Computational Electromagnetics and Its Applications(ICCEA’99)

作者： Yang-Han Lee Meng-Hong Chen Jen-Hung Huang Department of Electrical Engineering TamKang University Tamsui

＜正＞In this paper we propose a solution to find the maximal simultaneous users code set by genetic *** this methodology,the code set can be exactly selected which is error ***,the computing time for this methodology... 详细信息

ISBN: (纸本)0780358023

关键词： genetic algorithms code division multiple access optical fibre communication fiber-optic code division multiple access maximal simultaneous users code set selection FO-CDMA genetic algorithm error free code heuristic solution prime number

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