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.
Particle Swarm Optimization is motivated by collective behavior in the nature. Earlier PSO variants were biased and rotationally variant because of dimension by dimension method. Clerc proposed Standard PSO 2011 version to overcome the bias which modifies velocity in a geometrical way. Particle Swarm Optimization is an optimization technique having few parameters to tune. The neighborhood topology...
Particle swarm optimization(PSO) is motivated by the social behavior of individual in a group. The trajectory of the particles in PSO show that a particle catches a wave during the search. This paper analyzes the trajectory of a particle in PSO with and without constricton coefficient. The particles follow the path defined by sinusoidal wave while amplitude and frequency are random. The paper considers...
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.