The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, a novel improved multiobjective particle swarm optimization (IMOPSO) is proposed for solving the optimal reactive power dispatch (ORPD) problem with multiple and competing objectives. In order to improve the global search capability and the nondominated solutions diversity, time variant parameters, mutation operator, and dynamic crowding distance are incorporated into the MOPSO algorithm...
As one of the typical examples of Swarm Intelligence Algorithm, POS has been applied successfully in many fields. But it cannot guarantee a globally optimal solution. To improve that, researchers use related theories in quantum mechanics combined with the basic convergence of particle swarm and put forward a new model of PSO as Quantum-behaved PSO. The new algorithm is convenient for appliance and...
With the development of intelligent algorithm, GA and PSO have become the hot spot for the study on multi-objective optimization in recently years. Information sharing is the core of PSO algorithm, Comparing with GA, PSO algorithm has less variables to adjust and is easy to achieve, so it is widely used in engineering. This paper focus on the comparation on several PSO algorithm and introduce a kind...
Currently, most of node localization algorithms are designed based on the two-dimensional space, but the practical application is carried out in three-dimensional space. A three-dimensional node localization hybrid algorithm called DV-Hop-AC-PSO is proposed, which combines the advantages of DV-Hop, ant colony and particle swarm algorithm. In the proposed algorithm, particle swarm algorithm is adopted...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.