نتایج جستجو برای: particle swarm optimization team formation problem social networks single
تعداد نتایج: 3359827 فیلتر نتایج به سال:
Swarm intelligence (SI) is based on collective behavior of selforganized systems. Typical swarm intelligence schemes include Particle Swarm Optimization (PSO), Ant Colony System (ACS), Stochastic Diffusion Search (SDS), Bacteria Foraging (BF), the Artificial Bee Colony (ABC), and so on. Besides the applications to conventional optimization problems, SI can be used in controlling robots and unma...
Allocation of measurement devices is a necessity of distribution system which is an application of state estimation. In this paper, the problem of active and reactive measurement devices is modeling using a multi-objective method. The objectives of the problem are to minimize the use of measurement devices, increase in state estimation output, improve the state estimation quality and reduce cos...
While routing in multi-hop packet radio networks (static Ad-hoc wireless networks), it is crucial to minimize power consumption since nodes are powered by batteries of limited capacity and it is expensive to recharge the device. This paper studies the problem of broadcast routing in radio networks. Given a network with an identified source node, any broadcast routing is considered as a directed...
The basic thought of particle swarm optimization is introduced firstly, then particle swarm optimization algorithm model is established. The application of the improved particle swarm optimization algorithm to power supply system fault diagnosis is analyzed in accordance with problem of the algorithm, and migration strategy is added to particle swarm optimization algorithm. Finally the paramete...
Reactive power optimization is important to ensure power quality, improve system security, and reduce active power loss. So, this paper proposed parallel immune particle swarm optimization (PIPSO) algorithm. This algorithm makes basic particle swarm optimization (BPSO) and discrete particle swarm optimization (DPSO) to optimize in parallel, and improves the convergence capability of particle sw...
In social networks and big size organizations, finding the number of members that all of them have a certain relationship w* is an important problem for managers, as well the number of members that none of them has not the relationship (w*). Considering the members as vertices and the relationship as edges, w* and w* denote the clique number and the number of edges in the independent graph, re...
Particle swarm optimization algorithm in solving complex functions, such as slow convergence, accuracy is not high, easily falling into local optimum problem. Based on the chaos optimization is introduced into particle swarm optimization algorithm, given the chaotic particle swarm optimization algorithm. In order to improve the image quality of CMOS image sensor, the image of the main noise sou...
The penetration of distributed generation sources and energy storage units in distribution networks is increasing. Therefore, their impact on the reliability of the network is very necessary. In this study, in order to provide an optimal energy management strategy for smart distribution network, the multi-objective optimization problem of dynamic distribution feeder reconfiguration in the pres...
In this paper, a feature selection algorithm based on particle swarm optimization for processing remotely acquired hyperspectral data is presented. Since particle swarm optimization was originally developed to search only continuous spaces, it could not deal with the problem of spectral band selection directly. We propose a method utilizing two swarms of particles in order to optimize simultane...
This paper presents the application of the PSO (Particle Swarm Optimization) as a tool to solve the Traveling Salesman Problem. The proposed application consists of using a technique based on Artificial Intelligent – AI. It is based in the simulation of social interaction between individuals of a population. Here, each element of population moves in the hyper-space and they are attracted by pos...
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