Time-Sensitive Network (TSN) is a type of deterministic Ethernet that can satisfy the need for deterministic transmission of data in many industries. TSN provides bounded delay for Time Triggered (TT) communication by...
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ISBN:
(纸本)9798350349122;9798350349115
Time-Sensitive Network (TSN) is a type of deterministic Ethernet that can satisfy the need for deterministic transmission of data in many industries. TSN provides bounded delay for Time Triggered (TT) communication by providing global scheduling of transmission messages. Therefore, to address the problem of delay optimization for path selection of TT flows in industrial TSN, this paper puts forward a kind of oriented industrial TT flows routing multipath time delay difference of perception of transport mechanism. A multipath forwarding metric is designed based on the sending delay and processing delay, and then the multipath forwarding problem is transformed into a 0-1 Integer Linear Programming (ILP) problem. Finally, based on the antcolonyoptimization (ACO) algorithm, the refined algorithm (RACO) offers reliable deterministic end-to-end delay guarantees for TT flows in the industrial Internet. Through a large number of simulation experiments and analysis of the experimental results, this scheme realizes the low-latency parallel transmission of flows and achieves lower end-to-end delay, with faster convergence speed and stronger global optimization capability, which can more effectively avoid the possibility of falling into a stagnant state.
The paper proposes an improved ant colony optimization algorithm. This method first designs two fuzzy controllers to optimize three parameters alpha, beta, rho. Then it establishes a dynamic searching window for ants ...
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ISBN:
(纸本)9781424458479
The paper proposes an improved ant colony optimization algorithm. This method first designs two fuzzy controllers to optimize three parameters alpha, beta, rho. Then it establishes a dynamic searching window for ants and chaos information are added when near-neighbour city table is constituted in order to increase research speed in initial stages of algorithm. In addition, the concept of active degree of city node is presented as future information to supervise ants to construct solution and update pheromone. Finally a new evaluation criterion is produced to distinguish where paths are excellent or not. So the strategy not only conquers the weakness of easily running into local optimization while making route optimization, but also enhances efficient convergence of ant colony optimization algorithm. Results of large numbers of computer simulations demonstrate that this novel algorithm can plan optimal path rapidly in intricate three dimension (3-D) environment.
AS a result of routine businessmanagement in the practical application of such problems as low efficiency, the content is not fine, so if you want to optimize the effect of market regulation, improve business manageme...
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AS a result of routine businessmanagement in the practical application of such problems as low efficiency, the content is not fine, so if you want to optimize the effect of market regulation, improve business management efficiency, and ensure quality of market operation, need to be in the original content on the basis of reasonable use of information technology management idea, this is also discusses the main problems of the current market industry. Based on the application of particle swarm optimization (PSO), this paper integrates it with antcolonyalgorithm, and then uses the whole process of fine management mode to carry out visual and cyclic supervision and scheduling of the whole market inspection process. The results of this study can improve actual work efficiency, strengthen industrial and commercial scheduling management, and reduce the work pressure faced by industrial and commercial personnel. It is thework content of enterprise management that is more standardized.
In order to solve the shortcoming of support vector regression, passenger capacity prediction based on least squares support vector regression with ant colony optimization algorithm is proposed in this paper. ant colo...
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ISBN:
(纸本)9781509015856
In order to solve the shortcoming of support vector regression, passenger capacity prediction based on least squares support vector regression with ant colony optimization algorithm is proposed in this paper. ant colony optimization algorithm is used to select the parameters of least squares support vector regression. Highway passenger capacity data of Anhui province from 2000 to 2011 are applied to testify the passenger capacity forecasting performance of ACO-LSSVR, among which the passenger capacity data from 2000 to 2009 are used to create the training samples and the passenger capacity from 2010 to 2011 are used as the testing samples. The testing results show that the forecasting ability for highway passenger capacity of ACO-LSSVR is better than those of LSSVR and SVR.
Mobile robot path planning is critical in the present day of automation. Several situations may occur for humans, like the environment may be dirty, hazardous, might cause death, or injury as in case of mining, detect...
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ISBN:
(纸本)9781509012855
Mobile robot path planning is critical in the present day of automation. Several situations may occur for humans, like the environment may be dirty, hazardous, might cause death, or injury as in case of mining, detecting leakage in pipe, cleaning of pipe etc. where robots can be successfully employed. The idea of this paper is to develop a mobile robot that finds the shortest route from source to destination by using ant colony optimization algorithm with a single robot. The hardware used is iRobot Create interfaced to NXP LPC1768 Cortex M3 controller. The same is simulated using MATLAB. The output of the hardware is also made visible in Teraterm. It is observed that the mobile robot is enhanced with considerable skills to trace a path of optimum distance from source to destination without any collision in most of the situations, barring a few.
The Physarum Network with single inlet and multi outlet model (SMPN) exhibits a unique feature that the critical pipelines are reserved with the evolution of network. In addition, ant colony optimization algorithm is ...
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ISBN:
(纸本)9781479989379
The Physarum Network with single inlet and multi outlet model (SMPN) exhibits a unique feature that the critical pipelines are reserved with the evolution of network. In addition, ant colony optimization algorithm is a classic optimizationalgorithm of simulated evolutionary algorithms, which has been used to solve optimal scheduling problems. In this paper, drawing on this feature, an optimized antcolonyoptimization (ACO) algorithm denoted as SMPNACO algorithm is proposed based on the Physarum Network and ant colony optimization algorithm (ACO) to solve the Vehicle Routing Problem (VRP). Throughout the algorithm, the amount of pheromone flowed in network are related to the customers' requirement. When the pheromone matrix is updated, the SMPNACO algorithm updates both the pheromone released by ants and the flowing pheromone in the Physarum Network. By adding extra pheromones in the Physarum Network improves the convergence performance of ant colony optimization algorithm. The simulative experiments show that the SMPNACO algorithm is less affected by the initial total pheromone, this algorithm is feasible in solving the small scale VRP, and can effectively solve the VRP.
Task scheduling problem in cloud computing environment is NP-hard problem, which is difficult to obtain exact optimal solution and is suitable for using intelligent optimizationalgorithms to approximate the optimal s...
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ISBN:
(纸本)9781479986460
Task scheduling problem in cloud computing environment is NP-hard problem, which is difficult to obtain exact optimal solution and is suitable for using intelligent optimizationalgorithms to approximate the optimal solution. Meanwhile, quality of service (QoS) is an important indicator to measure the performance of task scheduling. In this paper, a novel task scheduling algorithm MQoS-GAAC with multi-QoS constraints is proposed, considering the time-consuming, expenditure, security and reliability in the scheduling process. The algorithm integrates ant colony optimization algorithm (ACO) with genetic algorithm (GA). To generate the initial pheromone efficiently for ACO, GA is invoked. With the designed fitness function, 4-dimensional QoS objectives are evaluated. Then, ACO is utilized to seek out the optimum resource. The experiment indicates that the proposed algorithm has preferable performance both in balancing resources and guaranteeing QoS.
Nowadays, public safety has already attracted great attention, especially when natural disasters and other emergencies happen more and more frequently. So, personnel evacuation simulation research in the populated are...
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ISBN:
(纸本)9783038350125
Nowadays, public safety has already attracted great attention, especially when natural disasters and other emergencies happen more and more frequently. So, personnel evacuation simulation research in the populated areas has become one of the core issues to reduce the social damage. To improve the simulation theory, this paper puts forward an improved cellular automata model using some idea of the classic ant colony optimization algorithm for reference when making rules for the evacuating personnel. And the improved model takes the interaction among the crowd and the influences exerted by the evacuating personnel upon the environment into account. The new model cares more specific details of both environment and the personnel, so it simulates the crowd psychology successfully and provides a more reliable theory that is to expand and improve the cellular automaton simulation model on personnel evacuation.
In this paper the parametric inverse heat conduction problem with the third kind boundary condition is solved by applying the ant colony optimization algorithm introduced in recent years and belonging to the group of ...
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ISBN:
(纸本)9783642293528;9783642293535
In this paper the parametric inverse heat conduction problem with the third kind boundary condition is solved by applying the ant colony optimization algorithm introduced in recent years and belonging to the group of optimizationalgorithms inspired by the behavior of swarms of individuals living in real word. In this case the applied algorithm is based on the technique of searching for the shortest way connecting the ant-hill with the source of food and is used for minimizing the functional playing a crucial role in the proposed procedure prepared for reconstruction of the thermal conductivity coefficient.
In Manufacturing Grid (MG) system, there are primarily two kinds of users: resource service consumer and resource service provider. For a resource service request task, the MG system should search the services which a...
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ISBN:
(纸本)9780878492459
In Manufacturing Grid (MG) system, there are primarily two kinds of users: resource service consumer and resource service provider. For a resource service request task, the MG system should search the services which are qualified for the requirements of consumer and then choose the optimal one to execute it. In according to the distributed system structure of MG and node routing model influenced by several factors (e.g., time minimization, cost minimization, bandwidth minimization), the searching technology based on web service technology and antcolonyoptimization (ACO) algorithm has been proposed in this paper. The basic evaluation models and formulations are described, and then the algorithms are presented to minimize the expenses. The experimental results also show that the proposed method is useful in solving the searching problems in MG system.
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