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Constrained particle swarm optimization using a bi-objective formulation

G. Venter, R. T. Haftka
2009 Structural And Multidisciplinary Optimization  
This paper introduces an approach for dealing with constraints when using particle swarm optimization.  ...  An additional set of 13 test problems from the literature is used to further validate the performance of the newly proposed algorithm.  ...  Any opinion, findings and conclusions or recommendations expressed in this material are those of the author(s) and therefore the NRF does not accept any liability in regard thereto.  ... 
doi:10.1007/s00158-009-0380-6 fatcat:vrebrvgfange5ddij6uo5yhpei

Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints [article]

Shayan Modiri Assari, Haroon Idrees, Mubarak Shah
2016 arXiv   pre-print
of magnitude speed up over stochastic local search with minor drop in performance.  ...  We present a stochastic local search algorithm to restrict the search space of hypotheses, and obtain 1-1 solution in the presence of linear and quadratic PSE constraints.  ...  Acknowledgment: This material is based upon work supported in part by, the U.S. Army Research Laboratory, the U.S. Army Research Office under contract/grant number W911NF-14-1-0294.  ... 
arXiv:1612.02155v1 fatcat:vbbj755xqvcetek3w3eu6y4ofu

Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints [chapter]

Shayan Modiri Assari, Haroon Idrees, Mubarak Shah
2016 Lecture Notes in Computer Science  
This paper addresses the problem of human re-identification in videos of dense crowds.  ...  Re-identification in crowded scenes is a challenging problem due to large number of people and frequent occlusions, coupled with changes in their appearance due to different properties and exposure of  ...  This material is based upon work supported in part by, the U.S. Army Research Laboratory, the U.S. Army Research Office under contract/grant number W911NF-14-1-0294.  ... 
doi:10.1007/978-3-319-46475-6_8 fatcat:axcxl4wssvb47p4ltdtf2jx7ie

TOPT: Supporting flash crowd events in hybrid overlay-based live streaming

Julius Ruckert, Bjorn Richerzhagen, Eduardo Lidanski, Ralf Steinmetz, David Hausheer
2015 2015 IFIP Networking Conference (IFIP Networking)  
The evaluation shows that the streaming topology, indeed, plays a major role during flash crowds.  ...  Due to the missing support for global network-layer multicast, overlay-based approaches have been broadly studied, showing that, with relaxed time constraints, they can scale well with the number of users  ...  ACKNOWLEDGMENT This work has been funded in parts by the European Union (FP7/#317846, SmartenIT and FP7/#318398, eCOUSIN) and the German Research Foundation (DFG) as part of projects C02 and C03 within  ... 
doi:10.1109/ifipnetworking.2015.7145336 dblp:conf/networking/RuckertRLSH15 fatcat:fk7yspgsd5dnvkxea3me4szr3y

A Simultaneous Localization and Mapping Algorithm in Complex Environments: SLASEM

Rongchuan Sun, Shugen Ma, Bin Li, Minghui Wang, Yuechao Wang
2011 Advanced Robotics  
We also present a method to improve the SEM's topological consistency by using corner constraints. The proposed algorithm has been verified in a simulation and an indoor experiment.  ...  In this paper we present an algorithm for the application of simultaneous localization and mapping in complex environments.  ...  Acknowledgements This work is supported by the National High Technology Research and Development Program of China (863 Program) (2006AA04Z230 and 2007AA041502-5).  ... 
doi:10.1163/016918611x563373 fatcat:kqsha4wrhremzcuhqcb3ssqy6e

Unsupervised camera localization in crowded spaces

Alexandre Alahi, Judson Wilson, Li Fei-Fei, Silvio Savarese
2017 2017 IEEE International Conference on Robotics and Automation (ICRA)  
However, the localization of the cameras is required, i.e., the positions and poses of all cameras in a unique reference.  ...  Existing camera networks in public spaces such as train terminals or malls can help social robots to navigate crowded scenes.  ...  ACKNOWLEDGMENT We acknowledge the support of ONR-N00014-13-1-0761, MURI -WF911NF-15-1-0479 and Toyota Center grant 1191689-1-UDAWF.  ... 
doi:10.1109/icra.2017.7989311 dblp:conf/icra/AlahiWFS17 fatcat:ve6omcsg5rayxatwzbnrfb5bby

Crowd sculpting: A space-time sculpting method for populating virtual environments

K. Jordao, J. Pettré, M. Christie, M.-P. Cani
2014 Computer graphics forum (Print)  
Our novel methods allows the user to control the crowd patches layout in ways inspired by elastic shape sculpting: the user creates and tunes the desired populated environment through stretching, bending  ...  We introduce "Crowd Sculpting": a method to interactively design populated environments by using intuitive deformation gestures to drive both the spatial coverage and the temporal sequencing of a crowd  ...  Acknowledgment This work is funded by the French National Research Agency ANR, projects CHROME and ISpace&Time. Part of this work was supported by the ERC Advanced grant "Expressive".  ... 
doi:10.1111/cgf.12316 fatcat:3372gztacnabxfcfy3gwld2ehi

Crowd of Virtual Humans: a New Approach for Real Time Navigation in Complex and Structured Environments

Fabrice Lamarche, Stephane Donikian
2004 Computer graphics forum (Print)  
a crowd.  ...  In this paper, we present a suitable topological structuring of the geometric environment to allow fast path finding as well as an efficient reactive navigation algorithm for virtual humans evolving inside  ...  The neighbourhood relation length is correlated to the local density inside the crowd allowing far collision prediction in sparse crowds and near prediction in dense crowds.  ... 
doi:10.1111/j.1467-8659.2004.00782.x fatcat:y3p3hskfarcatfmdl4nzk4xr3a

Quantifying and Detecting Collective Motion by Manifold Learning

Qi Wang, Mulin Chen, Xuelong Li
2017 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
crowd scenes, containing both local and global collective motions.  ...  The analysis of collective motion has attracted many researchers in artificial intelligence.  ...  (c) Local and Global consistency in crowd scenes. Figure 2 : 2 Figure 2: Illustration of topological relevance.  ... 
doi:10.1609/aaai.v31i1.11209 fatcat:j6d6hz4flzdlbhkmtt5v32hqam

Optimal Network Design for Consensus Formation: Wisdom of Networked Agents

Eugene S., Akira Namatame
2014 International Journal of Advanced Computer Science and Applications  
This suggests that both local and global topology influence the networks dynamics.  ...  The wisdom of crowds refers to the phenomenon in which the collective knowledge of a community is greater than the knowledge of any individual.  ...  The constraints may differ for networks in a geographic setting in addition to a topological layout, as in the case with real networks such as the internet and the brain cell network.  ... 
doi:10.14569/ijacsa.2014.050805 fatcat:gnawvaywuzbgxnhtpwjdrrdc3a

Evacuation Strategy Considering Path Capacity and Risk Level for Cruise Ship

Yang Liu, Huajun Zhang, Yu Zhan, Kunxiang Deng, Liangzhi Dong
2022 Journal of Marine Science and Engineering  
Path capacity constraints are used to avoid the congestion caused by the evacuees in a panic.  ...  This paper models the evacuation network topology of a cruise ship and simulates the evacuation process of some situations that have different numbers of evacuees and path capacity constraints.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/jmse10030398 fatcat:dfzqiqashfh2fcji747jsbjxvy

SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic [article]

Panpan Cai, Yiyuan Lee, Yuanfu Luo, David Hsu
2020 arXiv   pre-print
Autonomous driving in an unregulated urban crowd is an outstanding challenge, especially, in the presence of many aggressive, high-speed traffic participants.  ...  We provide a context-aware planner together with benchmark scenarios and show that SUMMIT generates complex, realistic traffic behaviors in challenging crowd-driving settings.  ...  This research is supported in part by the Singapore MoE AcRF Tier 2 grant MOE2016-T2-2-068 and the Singapore A*STAR Undergraduate Scholarship SE/AUS/15/016.  ... 
arXiv:1911.04074v2 fatcat:jqrt4jcapvchrbw4pv6ygz5yxu

Elite-initial population for efficient topology optimization using multi-objective genetic algorithms

Hyunjin Shin, Akira Todoroki, Yoshiyasu Hirano
2013 International Journal of Aeronautical and Space Sciences  
In this study, to build a more convergent and diverse global Pareto-optimal set and reduce the GA computational cost, some individuals, with similar topology to the local optimum solution obtained from  ...  The purpose of this paper is to improve the efficiency of multi-objective topology optimization using a genetic algorithm (GA) with bar-system representation.  ...  The crowding distance metric is the relative average distance to other individuals with the same rank in the objective space.  ... 
doi:10.5139/ijass.2013.14.4.324 fatcat:tmmeqbzvj5axfe2p7zkho7mkda

A two-objective evolutionary approach based on topological constraints for node localization in wireless sensor networks

Massimo Vecchio, Roberto López-Valcarce, Francesco Marcelloni
2012 Applied Soft Computing  
Please cite this article in press as: M. Vecchio, et al., A two-objective evolutionary approach based on topological constraints for node localization in wireless sensor networks, Appl. Soft Comput.  ...  ., A two-objective evolutionary approach based on topological constraints for node localization in wireless sensor networks, Appl. Soft Comput.  ...  ., A two-objective evolutionary approach based on topological constraints for node localization in wireless sensor networks, Appl. Soft Comput.  ... 
doi:10.1016/j.asoc.2011.03.012 fatcat:ftgox5gzangt7gki4frdoqgos4

Scene Attribute Semantic Relational Regularization for Transport-travel Scene Understanding

Wei Xinlei, Cheng Ruifen, Liu Yingji, Zhou Wei, Tian Daxin
2020 IEEE Access  
In order to verify the proposed method, the experiments are implemented on the static transport-travel scene dataset and dynamic transport-travel crowds scene dataset respectively.  ...  However, there are many attributes described by words or short texts in a static scene and traffic crowd scene.  ...  Due to the proposed approach taking advantage of the attribute semantic relation and the local topological relation regularization constraint, it is significant for improving the performance of attribute  ... 
doi:10.1109/access.2020.3001294 fatcat:jvtr22of5jaqbkkphfnrzkci7i
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