Fractional Order Darwinian Particle Swarm Optimization

• Author(s): Couceiro, Micael S. ; Ferreira, N. M. Fonseca ; Tenreiro Machado, J. A.
• Date: 2011
• Persistent ID: http://hdl.handle.net/10400.22/13579
• Origin: Repositório Científico do Instituto Politécnico do Porto
• Subject(s): Fractional calculus; DPSO; Evolutionary algorithm
• Document Type: Conference object
• Language: English
• Contributor(s): REPOSITÓRIO P.PORTO

Description

The Darwinian Particle Swarm Optimization (DPSO) is an evolutionary algorithm that extends the Particle Swarm Optimization (PSO) using natural selection, or survival-of-the-fittest, to enhance the ability to escape from local optima. This paper presents a method for controlling the convergence rate of the DPSO using fractional calculus (FC) concepts. The fractional order (FO) DPSO, denoted as FO-DPSO, is tested using several well-known functions and the relationship between the fractional order velocity and the convergence of the algorithm is observed.