A new clustering strategy is proposed based on interval sets, which is an alternative formulation different from the ones used in the existing studies. Instead of using a single set as the representation of a cluster,...
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This paper presents a novel swarm approximate dynamic programming method(swarm-ADP) for parameter optimization of PSO systems,from the perspective of optimal *** on the stability results of a simplified PSO and the sw...
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This paper presents a novel swarm approximate dynamic programming method(swarm-ADP) for parameter optimization of PSO systems,from the perspective of optimal *** on the stability results of a simplified PSO and the swarm-ADP algorithm,parameter dynamic optimization and computation is studied in detail for a deterministic PSO system and a stochastic PSO system,***,numerical simulations based on several benchmarks optimization are *** results show the validity of the proposed parameter optimization method for PSO systems.
In semi-automatic service composition, developers should construct the process model according to concrete application requirement and then the instance services are bound automatically for every abstract task and mak...
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We study the multicast capacity for hybrid wireless networks consisting of ordinary wireless nodes and base stations under Gaussian Channel model, which generalizes both the unicast capacity and broadcast capacity for...
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ISBN:
(纸本)9781424444816
We study the multicast capacity for hybrid wireless networks consisting of ordinary wireless nodes and base stations under Gaussian Channel model, which generalizes both the unicast capacity and broadcast capacity for hybrid wireless networks. We simply consider the hybrid extended network, where the ordinary wireless nodes are placed in the square region A(n) with side-length n~(1/2) according to a Poisson point process with unit intensity. In addition, m additional base stations (BSs) serving as the relay gateway are placed regularly in the region A(n) and they are connected by a high-bandwidth wired network. Three broad categories of multicast strategies are proposed in this paper. According to the different scenarios in terms of m, n and n_d, we select the optimal scheme from the three categories of strategies, and derive the achievable multicast throughput based on the optimal decision.
An approximate dynamic optimization method is proposed for a kind of semiconductor assembly job-shop scheduling based on swarm intelligence. In this method, a heuristic swarm stochastic optimization technology, i. e.,...
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An approximate dynamic optimization method is proposed for a kind of semiconductor assembly job-shop scheduling based on swarm intelligence. In this method, a heuristic swarm stochastic optimization technology, i. e., the particle swarm optimization is adopted to find an optimal operation. sequence and the schedule strategy having the minimal total make-span (TMS) in its admissible sequence space. Meanwhile, a discrete dynamic programming approach is integrated to particle fitness evaluation. The numerical example based on the simplified produce model and the actual produce data is studied to illustrate the effectiveness of the method for job-shop scheduling.
Nowadays complex information system's integrated formal models of function verification and performance evaluation lack properties constraint about space aspect. This paper presents an integrated verification mode...
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Nowadays complex information system's integrated formal models of function verification and performance evaluation lack properties constraint about space aspect. This paper presents an integrated verification model atsFPM by defining a space requirement function over the states of the considered information system. The patterns of paths which are based on regular expressions is proposed in order to specify the functional specifications. The syntax and semantic of the model atsFPM is defined. A conversion product model is obtained by the combination of the system model and the automaton of the pattern of paths which expresses the functional specifications. The verification of the model atsFPM is tackled by the performance verification technique of Markov Reward Model. Experimental results show that the atsFPM model and its verification approach can satisfy the modeling of information system and verification of functional and performance specifications.
In this paper, we present the parallel implementation of the traffic microsimulation PMTS (Parallel Microscopic Traffic Simulation) focusing on the performance issues. The parallelization of PMTS is domain decompositi...
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ISBN:
(纸本)9781427629807
In this paper, we present the parallel implementation of the traffic microsimulation PMTS (Parallel Microscopic Traffic Simulation) focusing on the performance issues. The parallelization of PMTS is domain decomposition, which means that each processor of the PC cluster is responsible for a different geographical area of the simulation region. We describe the transportation network graph partition and information exchange between domains. We demonstrate the time cost mathematics models for PMTS: the vehicle generation, vehicle position calculation, and vehicle information exchange between domains. The workload balance is obtained by adjusting the boundary lines according to the relative load of adjacent subnetworks. All these works have been proved to be effective when PMTS put into use and the experiment results are also provided which match our analysis.
Based on the fundamental evaluation index system of intelligent optimization, a type of optimization dynamics evaluation mode for particle swarm algorithm is presented here. The mode is used for general optimization p...
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Based on the fundamental evaluation index system of intelligent optimization, a type of optimization dynamics evaluation mode for particle swarm algorithm is presented here. The mode is used for general optimization performance and particles'population dynamics. In the evaluation mode, primary indexes include optimum value, population dynamic aggregation, population center convergence and population diversity. Numerical optimization simulation based on several benchmarks is studied, and the typical population dynamic results of primary indexes show that the proposed optimization dynamics evaluation mode is effective.
To reduce the computational complexity, a novel method of standard Hough transform (SHT), named probabilistic convergent Hough transform (PCHT), is proposed in this paper. PCHT avoids unnecessary cost of SHT in comput...
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To reduce the computational complexity, a novel method of standard Hough transform (SHT), named probabilistic convergent Hough transform (PCHT), is proposed in this paper. PCHT avoids unnecessary cost of SHT in computation by intermittently detecting several points of a line through fast convergence and in memory by using a one-dimensional accumulator. Considering the inevitable error initiated by PCHT, Sensitivity of detection method is introduced to limit the error rate of detecting a fake line within the tolerable range. Experiment is done in various circumstances. Results and comparison between several line detections and PCHT are shown next, and further discussion is given in the final.
Accurate visual object tracking through long sequences is a challenging task since object's appearance changes and complex motion happens. We present mixture motion model and incorporate observation model within t...
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Accurate visual object tracking through long sequences is a challenging task since object's appearance changes and complex motion happens. We present mixture motion model and incorporate observation model within the Monte Carlo framework to achieve robust visual tracking. The mixture motion model which employs important history motion information of the target is built according to a motion measurement matrix to model the target's transition state. Meanwhile, the incorporate observation model is established by introducing SVM classification scores into normal tracking observation model. A particles filter's implementation with these mixture models is demonstrated, which leads to robust tracking results, especially in occlusion and complex scene.
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