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An improved network dismantling strategy based on ant colony algorithm

INTERNATIONAL JOURNAL OF MODERN PHYSICS C 2025年第3期36卷

作者： Wang, Yongming Sun, Shiwen Wang, Zhen Wang, Li Xia, Chengyi Tianjin Univ Technol Sch Comp Sci & Technol Tianjin 300191 Peoples R China Tiangong Univ Sch Articial Intelligence Tianjin 300387 Peoples R China

Network dismantling, which aims at finding the optimal node sequence whose removal will dismantle the whole network effectively, remains as a hot topic in the research area of complex networks and systems. In this study, an improved network dismantling strategy based on ant-colony optimization algorithm is proposed. Through large quantities of numerical simulations, compared with several classical network dismantling methods, the effectiveness of the proposed strategy is verified. Current results can provide a new perspective for us to comprehend the complexity and optimization of complex networked systems.

关键词： Complex networks network dismantling attack ant-colony algorithm

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Research on Optimization Problem of Routing about Parking Guidance Based on Improved ant colony algorithm

Research on Optimization Problem of Routing about Parking Gu...

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IEEE International Conference on Civil Aviation Safety and Information Technology (ICCASIT)

作者： Juan Li Zi Li Tao Sun Meijuan Jia Haitao Yu Computer Science and Information Technology Daqing Normal University College Daqing China Guilin University of Technology Institute for Tourism Studies Guilin China

ISBN: (纸本)9781728125992

According to the layout characteristics of parking in the parking lot, the problem of converting the path choice of parking is raised to seek the optimal path and generate the optimal parking guiding line. This paper proposed the concept of node busy factor, and a mathematical model of the optimal path with constraints. The state transition rules of basic ant colony algorithm is improved as well as updating rules of pheromone. After that, the taboo strategy is introduced for further optimization. At last, the experimental results and Matlab simulation verify the effectiveness of the algorithm.

关键词： ant-colony algorithm Path optimization Taboo strategy Parking guidance Parking ant algorithm optimal path Network routing State Change

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ant colony-inspired cooperative control of multi- magnetorheological dampers system for coupled vibration mitigation of spatial irregular structures

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ENGINEERING STRUCTURES 2025年 334卷

作者： Yang, Yang Xu, Zhao-Dong Huang, Xing-Huai Dong, Yao-Rong Dai, Jun Li, Yuan-Jin Southeast Univ China Pakistan Belt & Rd Joint Lab Smart Disaster Nanjing 210096 Peoples R China Northeastern Univ Sch Resources & Civil Engn Shenyang 110819 Peoples R China Southeast Univ Shenzhen Res Inst Nanjing 211189 Peoples R China Xian Univ Architecture & Technol Sch Civil Engn Xian 710055 Peoples R China

Spatial irregular structures are increasingly common in modern architecture due to their aesthetic appeal and functional diversity. However, their complex seismic response, characterized by coupled translational-torsional vibrations, poses challenges for traditional seismic designs. Magnetorheological (MR) dampers offer a promising semi-active control technology capable of mitigating these vibrations. For the control system with multiple MR dampers, an important issue is how to allocate the control currents of different dampers, so as to ensure the cooperative work of these devices and realize the optimal damping effect. This study proposes an ant colonyinspired cooperative control strategy for the control system with multiple MR dampers, aiming to optimize the allocation of control currents among multiple MR dampers. The proposed approach leverages the adaptive and collaborative features of ant colony behavior to dynamically adjust the control currents in response to structural vibrations and external excitations, ensuring the MR dampers operate in concert. Through numerical analyses and comparisons, the effectiveness of the cooperative control strategy in mitigating coupled translational and torsional responses is demonstrated, showing its potential for enhancing the seismic resilience of spatially irregular structures.

关键词： Spatial irregular structure Translational-torsional vibration Multiple MR dampers Cooperative control ant-colony algorithm

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Modeling Communication Processes in the Human Connectome through Cooperative Learning

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IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING 2020年第1期7卷 476-488页

作者： Tipnis, Uttara Amico, Enrico Ventresca, Mario Goni, Joaquin Purdue Univ Sch Ind Engn W Lafayette IN 47906 USA Purdue Univ Purdue Inst Integrat Neurosci W Lafayette IN 47906 USA Purdue Univ Sch Biomed Engn Sch Ind Engn W Lafayette IN 47906 USA Purdue Univ Sch Biomed Engn W Lafayette IN 47906 USA

Communication processes within the human brain at different cognitive states are neither well understood nor completely characterized. We assess communication processes in the human connectome using ant colony-inspired cooperative learning algorithm, starting from a source with no a priori information about the network topology, and cooperatively searching for the target through a pheromone-inspired model. This framework relies on two parameters, namely pheromone perception and edge perception, to define the cognizance and subsequent behaviour of the ants on the network and, overall, the communication processes happening between source and target nodes. Simulations obtained through different configurations allow the identification of path-ensembles that are involved in the communication between node pairs. These path-ensembles may contain different number of paths depending on the perception parameters and the node pair. In order to assess the different communication regimes displayed on the simulations and their associations with functional connectivity, we introduce two network measurements, effective path-length and arrival rate. These communication features are tested as individual as well as combined descriptors of functional connectivity during different tasks. Finally, different communication regimes are found in different specialized functional networks. Overall, this framework may be used as a test-bed for different communication regimes on top of an underlaying topology.

关键词： Brain connectomics graph theory computational neuroscience ant-colony algorithm communication processes

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Research on Routing Protocol for Wireless Sensor Network Based on ant-colony algorithm

Research on Routing Protocol for Wireless Sensor Network Bas...

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2nd International Conference on Information Technology and Management Innovation (ICITMI 2013)

作者： Sang, Lei Long, Duo Jilin Business & Technol Coll Dept Informat Engn Changchun Peoples R China Changchun Univ Sci & Technol Sch Mech & Elect Engn Changchun Peoples R China

ISBN: (纸本)9783037858646

Routing protocol is mainly responsible for seeking optimized path between source node and destination node and forwarding data package along the optimized path in a right way, which is a core link in wireless sensor network. In this thesis, a research on WSN routing algorithm based on ant-colony algorithm is done, targeting the features of WSN and on the basis of the analysis of classic routing protocol. Comparison and analysis of the path and convergence rate of cluster head node are done by means of emulated analysis, which is to some extent innovative and significant to research.

关键词： Wireless Sensor Network Routing Protocol ant-colony algorithm BWAS algorithm

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A load balanced routing algorithm based on congestion prediction for LEO satellite networks

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CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2019年第4-Sup期22卷 S8025-S8033页

作者： Wang, Houtian Wen, Guoli Liu, Naijin Zhang, Jun Tao, Ying China Acad Space Technol Qian Xuesen Lab Space Technol Beijing 100094 Peoples R China Beijing Univ Posts & Telecommun Sch Elect Engn Beijing 100876 Peoples R China China Acad Space Technol Beijing 100094 Peoples R China

This paper presents a load balancing routing algorithm based on congestion prediction (LBRA-CP) so as to realize an efficient load balancing over the entire Low Earth Orbit satellite networks. A multi-objective optimization model is built, which not only adopts modifying factor to adjust path cost, but also uses congestion prediction to foresee inter-satellite link congestion. Then an ant colony algorithm is utilized to solve this model, resulting in finding an optimal path for every connection request. Meanwhile, in order to improve the reliability of LBRA-CP, the valve of the pheromone evaporation coefficient is discussed in this paper. The performance is measured by the receiver's throughput, the link utilization and the end-to-end delay. Simulation results show that LBRA-CP performs well in balancing traffic load and increases the receiver's throughput. Meanwhile, the end-to-end delay can meet the requirement of video transmission.

关键词： ant-colony algorithm Congestion prediction LEO satellite networks Load balancing

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Automatic fault extraction using a modified ant-colony algorithm

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JOURNAL OF GEOPHYSICS AND ENGINEERING 2013年第2期10卷 025009-025009页

作者： Zhao, Junsheng Sun, Sam Zandong China Univ Petr Lab Integrat Geol & Geophys Beijing 102249 Peoples R China

The basis of automatic fault extraction is seismic attributes, such as the coherence cube which is always used to identify a fault by the minimum value. The biggest challenge in automatic fault extraction is noise, including that of seismic data. However, a fault has a better spatial continuity in certain direction, which makes it quite different from noise. Considering this characteristic, a modified ant-colony algorithm is introduced into automatic fault identification and tracking, where the gradient direction and direction consistency are used as constraints. Numerical model test results show that this method is feasible and effective in automatic fault extraction and noise suppression. The application of field data further illustrates its validity and superiority.

关键词： ant-colony algorithm fault auto extraction gradient direction direction consistency

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Socio-cognitive ACO in Multi-criteria Optimization 19th

Socio-cognitive ACO in Multi-criteria Optimization

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19th Annual International Conference on Computational Science (ICCS)

作者： Byrski, Aleksander Turek, Wojciech Radwanski, Wojciech Kisiel-Dorohinicki, Marek AGH Univ Sci & Technol Al Mickiewicza 30 PL-30059 Krakow Poland

ISBN: (纸本)9783030227418;9783030227401

In this paper a socio-cognitive ACO-type algorithm is proposed for multi-criteria TSP problem optimization. This algorithm is rooted in psychological inspirations and follows other socio-cognitive swarm intelligence methods proposed up to now. This paper presents the idea and shows the applicability of the proposed algorithm based on selected benchmark functions from the scope of well-known TSPLIB library.

关键词： Multi-criteria optimization ant-colony algorithm Socio-cognitive computing

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Parcel Delivery by Collaborative Use of Truck Fleets and Bus-Transit Vehicles

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TRANSPORTATION JOURNAL 2018年第4期57卷 399-428页

作者： He, Yunzhu Yang, Zhongzhen Dalian Maritime Univ Dalian Peoples R China Ningbo Univ Ningbo Zhejiang Peoples R China

City express delivery demand is characterized by large quantities, small parcel sizes, dense batch frequency, and timeliness. To meet demand and control costs and CO2 emissions from parcel delivery, a collaborative delivery mode using bus vehicles and a truck fleet is proposed. A model is built to optimize delivery schemes based on a bus-road mixed network and thus minimize the fixed cost, the delivery cost, the compensation cost for the emitted CO2, and the unpunctuality penalty cost. An ant-colony algorithm is designed to solve the model. Delivery schemes for the 97 demand sites in a Chinese city are calculated under collaborative mode and truck-only mode. The advantages of a collaborative mode are verified by comparing the two types of delivery schemes.

关键词： City logistics collaborative delivery transit network two-echelon vehicle routing problem ant-colony algorithm

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A modified ant-colony optimisation algorithm to minimise the completion time variance of jobs in flowshops

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INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2012年第20期50卷 5698-5706页

作者： Krishnaraj, J. Pugazhendhi, S. Rajendran, C. Thiagarajan, S. Indian Inst Technol Dept Management Studies Madras 600036 Tamil Nadu India Krishnasamy Coll Engn & Technol Dept Mech Engn Cuddalore India Annamalai Univ Dept Mfg Engn Annamalainagar India Sri Nandhanam Coll Engn & Technol Tirupathur India

In this work, the flowshop scheduling problem is considered with the objective of minimising the completion-time variance (CTV) of jobs, and an ant colony Optimisation (ACO) algorithm is presented. Two implementations of the Modified ant colony Optimisation algorithm (MACO-I and MACO-II) are proposed to solve the permutation flowshop scheduling problem. The proposed ant-colony-algorithm implementations have been tested on 90 benchmark flowshop scheduling problems. The solutions yielded by the proposed MACO implementations are compared with various algorithms and with the best CTV of jobs reported in the literature. The proposed MACO implementations are found to perform very well in minimising the chosen performance measure.

关键词： scheduling flowshop completion-time variance ant-colony algorithm

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