Filters








1,219 Hits in 4.7 sec

Use of neuro fuzzy network with hybrid intelligent optimization techniques for weight determination in parallel Job scheduling

S.V. Sudha
2012 Scientific Research and Essays  
optimization, hybrid particle swarm optimization with the tabu search and the parallel implementation of the hybrid approach of the particle swarm optimization with the tabu search are employed to identify  ...  The performance of the neural network in turn depends on the weight determination of its own network and the various optimization techniques like genetic and parallel genetic algorithm, particle swarm  ...  algorithm and particle swarm optimization with tabu search (parallel).  ... 
doi:10.5897/sre11.2148 fatcat:b76strdq65gubn6s5swho3ol6m

Effect of Communication Modes to Swarm Robotic Search

Songdong Xue, Chaoli Sun, Jianchao Zeng, Yaochu Jin, Ran Cheng
2014 Open Electrical & Electronic Engineering Journal  
Interactions in swarm robotic search are explored for intelligence emergence based on Extended Particle Swarm Optimization (EPSO) model.  ...  For this end, the best combination of proper properties in typical versions of PSO is transferred to swarm robotic search.  ...  ACKNOWLEDGEMENTS Author thanks for support including the National Natural Science Foundation of China under Grands 61165016, 61472269, and 61403271, as well as Shanxi Natural Science Foundation under Grands  ... 
doi:10.2174/1874129001408010240 fatcat:wiowg5bzkjhsbo5u2mgiy2ouxq

Parallel Particle Swarm Optimization Algorithm Accelerated by Asynchronous Evaluations

Gerhard Venter, Jaroslaw Sobieszczanski-Sobieski
2006 Journal of Aerospace Computing Information and Communication  
A parallel Particle Swarm Optimization (PSO) algorithm is presented.  ...  One approach to reduce the elapsed time is to make use of coarse-grained parallelization to evaluate the design points.  ...  Parallel Particle Swarm Optimization Algorithm The PSO algorithm is ideally suited for a coarse-grained parallel implimentation on a parallel or distributed computing network.  ... 
doi:10.2514/1.17873 fatcat:em7xc4tfqbe5tewcxy4uqkmt7i

Estimating output flow depth from Rockfill Porous media

Hadi Norouzi, Mohammad Hosein Hasani, Jalal Bazargan, Seyed Mohammad Shoaei
2021 Water Science and Technology : Water Supply  
In the present study, using dimensional analysis and particle swarm optimization (PSO) algorithm and experimental data in different conditions (a total of 178 experimental data for rounded, crashed, Glass  ...  To analyze the flow in a rockfill porous media using the Gradually Varied Flows theory (one-dimensional flow analysis) and solving the Parkin equation (two-dimensional flow analysis), calculation of the  ...  function in the Particle Swarm Optimization (PSO) algorithm.  ... 
doi:10.2166/ws.2021.317 fatcat:zhuv4flucnaebfzqerais7mkeu

Parallelizing Comprehensive Learning Particle Swarm Optimization by Open Computing Language on an Integrated Graphical Processing Unit

Xiang Yu, Yu Qiao, Qingpeng Li, Gang Xu, Chuanxiong Kang, Claudio Estevez, Chengzhi Deng, Shengqian Wang
2020 Complexity  
The deterministic optimization is performed on an ensemble of 62 years' historical inflow records with monthly time steps, is solved by CLPSO, and is parallelized by a coarse-grained multipopulation model  ...  Comprehensive learning particle swarm optimization (CLPSO) is a powerful metaheuristic for global optimization.  ...  Parallelizing Comprehensive Learning Particle Swarm Optimization Basic Coarse-Grained All-GPU Model.  ... 
doi:10.1155/2020/6589658 fatcat:5fcu5utenzgpjiog7oh2ckh7dy

Controlling swarm robots for target search in parallel and asynchronously

Songdong Xue, Jianchao Zeng
2009 International journal of Modeling, identification and control  
To control swarm robots with extended particle swarm optimization approach for target search, target signals should be detected and fused as fitness evaluate due to the inherent parallel processing property  ...  Each robot detects signals in a fine-grained parallel way and compares fusion of signals with the best in its character swarm.  ...  The authors are currently sponsored by a National Natural Science Foundation (NSFC) of China grant (contract No. 60674104).  ... 
doi:10.1504/ijmic.2009.030082 fatcat:c57bc3h7kvewlkwjy7o4yqp63y

Synchronous and Asynchronous Communication Modes for Swarm Robotic Search [chapter]

Songdong Xue, Jin Li, Jianchao Zeng, Xiaojuan He, Guoyou Zhang
2011 Mobile Robots - Control Architectures, Bio-Interfacing, Navigation, Multi Robot Motion Planning and Operator Training  
These mentioned algorithms are all attributed to coarse-grained parallelism.  ...  Section 2 maps swarm robotic search to the particle swarm optimization algorithm. Then it models the swarm robots with EPSO method and describes the control following swarm intelligence principles.  ...  Similar to the coarse-grained parallel particle swarm optimization, we can make robot R i communicate every n iterations to decide the best-found position within robot R i 's TVCS (Huang and Fan, 2006  ... 
doi:10.5772/25505 fatcat:4mfy5zcxqfhpdiqynxuk54c2ke

Parallel global optimization with the particle swarm algorithm

J. F. Schutte, J. A. Reinbolt, B. J. Fregly, R. T. Haftka, A. D. George
2004 International Journal for Numerical Methods in Engineering  
To obtain enhanced computational throughput and global search capability, we detail the coarse-grained parallelization of an increasingly popular global search method, the particle swarm optimization (  ...  When the analytical problems were solved using a fixed number of swarm iterations, a single population of 128 particles produced a better convergence rate than did multiple independent runs performed using  ...  ACKNOWLEDGEMENTS The authors gratefully acknowledge funding for this study from NIH National Library of Medicine (R03 LM07332) and Whitaker Foundation grants to B. J.  ... 
doi:10.1002/nme.1149 pmid:17891226 pmcid:PMC1989676 fatcat:tz6qlmiyizdjvm6mxb5smxi5iu

Mapping loops onto Coarse-Grained Reconfigurable Architectures using Particle Swarm Optimization

Rani Gnanaolivu, Theodore S. Norvell, Ramachandran Venkatesan
2010 2010 International Conference of Soft Computing and Pattern Recognition  
To utilize the abundant parallelism found in CGRAs, we propose a fast and efficient Modulo-Constrained Hybrid Particle Swarm Optimization (MCHPSO) scheduling algorithm to exploit loop level parallelism  ...  Coarse-Grained Reconfigurable Architectures (CGRAs) have gained currency in recent years due to their abundant parallelism and flexibility.  ...  Particle Swarm Optimization Particle Swarm Optimization (PSO) is an optimization approach that follows an evolutionary metaphor.  ... 
doi:10.1109/socpar.2010.5685969 dblp:conf/socpar/GnanaolivuNV10 fatcat:kvffgr52zjb47ndx2cvtqzefbq

Quantum Dynamic Mechanism-based Parallel Ant Colony Optimization Algorithm

Xiao-ming You, Sheng Liu, Yu-ming Wang
2010 International Journal of Computational Intelligence Systems  
We describe the quantum dynamic mechanism and analysis the technology of improving performance, the efficiency of the approach has been illustrated by applying to TSP benchmark instances Chn144.  ...  A novel Parallel Ant Colony Optimization Algorithm based on Quantum dynamic mechanism for traveling salesman problem (PQACO) is proposed.  ...  Acknowledgements The authors gratefully acknowledge the support of National Natural Science Foundation of Shanghai  ... 
doi:10.1080/18756891.2010.9727756 fatcat:y6zk7s4o7rfbremxzozk2j33w4

Quantum Dynamic Mechanism-based Parallel Ant Colony Optimization Algorithm

Xiao-ming You, Sheng Liu, Yu-ming Wang
2010 International Journal of Computational Intelligence Systems  
We describe the quantum dynamic mechanism and analysis the technology of improving performance, the efficiency of the approach has been illustrated by applying to TSP benchmark instances Chn144.  ...  A novel Parallel Ant Colony Optimization Algorithm based on Quantum dynamic mechanism for traveling salesman problem (PQACO) is proposed.  ...  Acknowledgements The authors gratefully acknowledge the support of National Natural Science Foundation of Shanghai  ... 
doi:10.2991/ijcis.2010.3.s1.8 fatcat:43hx3m4zrfgl3cyupmlsgsj34m

Parallelized Multiple Swarm Artificial Bee Colony Algorithm (MS-ABC) for Global Optimization

Milos SUBOTIC, Milan TUBA
2014 Studies in Informatics and Control  
Swarm intelligence metaheuristics have been successfully used for hard optimization problems.  ...  Parallelization is usually introduced for performance improvement and better resources utilization.  ...  Acknowledgement This research is supported by Ministry of Education and Science of Republic of Serbia, Grant No. III-44006  ... 
doi:10.24846/v23i1y201412 fatcat:6bntrc6e35aazamjxcesrs3lry

A Chaotic Parallel Artificial Fish Swarm Algorithm for Water Quality Monitoring Sensor Networks 3D Coverage Optimization

Jie Zhou, Guohong Qi, Changzheng Liu, Bin Gao
2021 Journal of Sensors  
Ultimately, CPAFSA is compared with genetic algorithm (GA) and particle swarm optimization (PSO).  ...  To optimize the 3D coverage of underwater targets, this research proposes a chaotic parallel artificial fish swarm algorithm (CPAFSA).  ...  Parallel models include the fine-grained model, masterslave model, and coarse-grained model. The fine-grained model is mainly used in large-scale computer systems.  ... 
doi:10.1155/2021/5529527 fatcat:mi4lqtuwcrbdhgv6mh4sdim7mm

Clustering Algorithm of Ethnic Cultural Resources based on Spark

Ming Lei, Bin Wen, Jianhou Gan, Jun Wang
2019 International Journal of Performability Engineering  
The particle swarm optimization (PSO) algorithm and global coarse-grained search can quickly determine the k-value of the cluster center, while the retrieval efficiency is low.  ...  Finally, the particle swarm optimization algorithm performs initial pre-clustering on the data set, obtains the K-means algorithm cluster center k, and then obtains the final classification result through  ...  Particle Swarm Optimization Algorithm The Particle Swarm Optimization (PSO) algorithm is a new type of swarm intelligence evolution algorithm inspired by famous scholars Kennedy and Eberhart in the late  ... 
doi:10.23940/ijpe.19.03.p4.756762 fatcat:exon4f54bfapzgslsmzsqvkbae

Pipeline 3D Modeling Based on High-Definition Rendering Intelligent Calculation

Shao Li, Yu Zhou, Gengxin Sun
2022 Mathematical Problems in Engineering  
By analyzing the parallel design schemes of swarm intelligence algorithms under different granularities, this paper proposes a parallel swarm intelligence optimization algorithm design method and then  ...  The experimental results verify the excellent performance of the method proposed in this paper.  ...  In the artificial fish swarm algorithm, the concept of "field of view" in fish is adopted. e basic idea of particle swarm optimization is to promote the evolution of the group and find the optimal solution  ... 
doi:10.1155/2022/4580363 fatcat:bsg4jdw6hbbibmn6j5mlz7ypx4
« Previous Showing results 1 — 15 out of 1,219 results