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Effective Variants of the Max-Sum Algorithm for Radar Coordination and Scheduling
2011
2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
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These techniques facilitate effective problem solving through the use of a pre-computed policy and two phase propagation on Max-Sum algorithm, one inside the clustered resources and one among clustered ...
This work proposes new techniques for saving communication and computational resources when solving distributed constraint optimization problems using the Max-Sum algorithm in an environment where system ...
We would like to thank Alessandro Farinelli, Alex Rogers, and Ruben Stranders of the University of Southampton for their assistance in this project. ...
doi:10.1109/wi-iat.2011.247
dblp:conf/iat/KimKL11
fatcat:tyqgelolobcdbecpirp6tmapu4
Speeding Up Incomplete GDL-based Algorithms for Multi-agent Optimization with Dense Local Utilities
2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
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Incomplete GDL-based algorithms including Max-sum and its variants are important methods for multi-agent optimization. ...
We demonstrate the superiorities of our algorithms over the state-of-the-art from both theoretical and experimental perspectives. ...
Acknowledgements This research is supported by Singapore National Research Foundation projects AISG-RP2019-0013, NSOE-TSS2019-01, and NTU. ...
doi:10.24963/ijcai.2020/5
dblp:conf/ijcai/DengA20
fatcat:eqmrd4v4tzabxn4ge6yll7gia4
Multiphysical simulation of a semi-autonomous solar powered high altitude pseudo-satellite
2018
2018 IEEE Aerospace Conference
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To this end, simulated example missions over Bavaria are presented showcasing these effects, where mission success is ensured by means of the long term mission planner, the reactive guidance, and the inner-level ...
In the project StraVARIA, the goal was to develop a high-fidelity multiphysical simulation of such a HAPS, including a long-term mission planner, a reactive guidance system for weather avoidance, a flight ...
Thanks also go to Andreas Langmeier and Erwin Stenzel (Airbus Group Innovations) for provision of the radar simulation and help with the OPERA data, Andreas Klöckner (DLR-PD) for the work performed in ...
doi:10.1109/aero.2018.8396531
fatcat:iol7sahrqrefbcp42xzr2y6cmy
Unsupervised learning with stochastic gradient
2005
Neurocomputing
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Here, only the input data vector was known while source vector and mixing matrix were unknown. ...
temperature T 0 was introduced generalizing the Shannon maximum entropy S of the closed systems to the open systems having non-zero input-output energy exchange E. ...
Here r represents the generalized coordinate emphasizing that both mixing matrix and source vector are r coordinate variant. ...
doi:10.1016/j.neucom.2004.11.010
fatcat:gkmkkmfkujhrjlzze5ygyugpsm
Variable neighbourhood search: methods and applications
2008
4OR
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It consists of steps for developing a heuristic for any particular problem. Those steps are common to the implementation of other metaheuristics. ...
Variable neighbourhood search (VNS) is a metaheuristic, or a framework for building heuristics, based upon systematic changes of neighbourhoods both in descent phase, to find a local minimum, and in perturbation ...
The third author was partly supported by project TIN2005-08404-C04-03 of the Spanish Government (with financial support from the E.U. under the FEDER project) and project PI042005/044 of the Canary Government ...
doi:10.1007/s10288-008-0089-1
fatcat:3iqvqsdfdra6fn6v3ne5rv2f64
A penalty search algorithm for the obstacle neutralization problem
2015
Computers & Operations Research
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In this study, we propose a simple, yet efficient and effective suboptimal algorithm for ONP based on the idea of penalty search and we present special cases where our algorithm is provably optimal. ...
This algorithm is especially suitable for online applications. State-of-the-art algorithms ...
Then we propose the Penalty Search Algorithm (PSA) for ONP which is a simple, effective, and scalable suboptimal algorithm for ONP. ...
doi:10.1016/j.cor.2014.08.013
fatcat:f3oyn3mlhvgwfi2hndr2y3zspi
An efficient Associative Processor solution to an Air Traffic Control problem
2010
2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW)
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This differs from previous ATC systems that are designed for MIMD computers and have a great deal of difficulty meeting the predictability requirements for ATC, which are critical for meeting the strict ...
An important consequence of these features is that the V&V (Validation and Verification) process will be considerably simpler than for current ATC software. ...
ACKNOWLEDGMENTS We wish to thank anonymous reviewers for their valuable comments, which were very useful in the production of the final version of this paper. ...
doi:10.1109/ipdpsw.2010.5470820
dblp:conf/ipps/YuanBDNM10
fatcat:ttnivufrgnd7rf7t563wmgh3fu
Probabilistic data association techniques for target tracking with applications to sonar, radar and EO sensors
2005
IEEE Aerospace and Electronic Systems Magazine
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The use of the PDA technique for tracking highly maneuvering targets combined radar resource management is described. ...
In this paper we present an overview of the PDA technique and its application for different target tracking scenarios, in particular for low observable (low SNR) targets. ...
Acknowledgment The numerous constructive comments from anonymous reviewers are gratefully acknowledged. ...
doi:10.1109/maes.2005.1499275
fatcat:twe6tkf46fb2zoxybp5kjgknoa
Learning the Quality of Sensor Data in Distributed Decision Fusion
2006
2006 9th International Conference on Information Fusion
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We provide a novel learning algorithm for determining the quality of sensor data in the fusion process. ...
Several examples are provided to show the effectiveness of our approach. ...
The authors would also like to thank our partners at Northrop-Grumman for their assistance in developing some of the external sensor simulators. ...
doi:10.1109/icif.2006.301632
dblp:conf/fusion/YuS06
fatcat:wd7qkmp2xjdazol23ttu6tuhu4
Methods and Applications
[chapter]
1997
After the Event
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a perturbation phase to get out of the corresponding valley. ...
Abstract Variable neighborhood search (VNS) is a metaheuristic, or framework for building heuristics, based upon systematic change of neighborhoods both in a decent phase to find a local minimum, and in ...
heuristic procedures for Minimum Within-Cluster Sums of Squares Partitioning. ...
doi:10.1016/b978-008043074-4/50023-5
fatcat:7clkbkmqtbgkjdpzgzpjl7ug5e
Max-Min Fair Resource Allocation in Millimetre-Wave Backhauls
[article]
2019
arXiv
pre-print
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The millimetre wave (mm-wave) spectrum is a promising candidate for inexpensive multi-Gbps wireless backhauling, but exploiting this band for effective multi-hop data communications is challenging. ...
In this paper, we propose WiHaul, an airtime allocation and scheduling mechanism that overcomes these challenges specific to multi-hop mm-wave networks, guarantees max-min fairness among traffic flows, ...
We also thank Nicolò Facchi for helping us extend the NS-3 simulator, which we used for evaluation purposes. ...
arXiv:1709.07078v2
fatcat:rpg4vmg72vfkvlkgbwbzjogxea
Max-Min Fair Resource Allocation in Millimetre-Wave Backhauls
2019
IEEE Transactions on Mobile Computing
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We also thank Nicolò Facchi for helping us extend the NS-3 simulator, which we used for evaluation purposes. ...
ACKNOWLEDGEMENTS We thank Pablo Serrano for his valuable feedback that helped improving this manuscript. ...
j with Algorithm 1 2: H = BUILD SCHEDULING HIERARCHY(network topology) 3: Root coordinator of H assigns slots to its child nodes, i.e. ...
doi:10.1109/tmc.2019.2917205
fatcat:5it6b6pmvbew7hdp6redye5c5e
Deep Instance Segmentation with Automotive Radar Detection Points
[article]
2022
arXiv
pre-print
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Its data contain contexts such as radar cross section and micro-Doppler effects, and sometimes can provide detection when the field of view is obscured. ...
More significantly, the consumed memory is around 1MB, and the inference time is less than 40ms, indicating that our proposed algorithm is storage and time efficient. ...
are sum-of gMLP lf attention son. ...
arXiv:2110.01775v6
fatcat:ryhi73z53bhdldmcglq7ucgz5m
A Hybrid Differential Evolution Algorithm and Its Application in Unmanned Combat Aerial Vehicle Path Planning
2020
IEEE Access
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CIPDE and JADE are two powerful and effective Differential Evolution (DE) algorithms with strong exploration and exploitation capabilities. ...
We validate the performance of the proposed CIJADE algorithm over 28 benchmark functions of the CEC2013 benchmark set. ...
Let (x, y) stand for the coordinates in the original combat field and (x , y ) stand for the coordinates after the coordinate transformation, the relationships between these two coordinates are defined ...
doi:10.1109/access.2020.2968119
fatcat:vnwyoncddbdhhd32emnmvgvz7u
Chaotic predator–prey biogeography-based optimization approach for UCAV path planning
2014
Aerospace Science and Technology
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Acknowledgements This work was partially supported by Natural Science Foundation of China (NSFC) under grants #61333004, #61273054, and #60975072, National Key Basic Research Program of China ...
Rahmati et al. developed the migration operators of BBO for searching a solution area of Flexible Job Shop Scheduling (FJSP) problem and introduced BBO algorithm to scheduling area [15] . ...
[8] , a new variant of PSO, named θ -QPSO algorithm was proposed and has shown its high performance in solving path planning problem for UAV in different known and static threat environments. ...
doi:10.1016/j.ast.2013.11.003
fatcat:f6vmeognijbvjpchk7k3qngjaa
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