A Systematic Parameter Adaption Scheme in APSO
Journal: International Journal of Linguistics and Computational Applications (Vol.3, No. 2)Publication Date: 2016-06-10
Authors : R.Sabin Begum Dr.R.Sugumar;
Page : 24-28
Keywords : Adaptive Particle Swarm Optimization; Global Optimization; Particle Swarm Optimization (PSO);
Abstract
An adaption feature of particle swarm optimization features have better search efficiency than particle swarm optimization (PSO) is presented. It can perform a global search over the entire search space with faster convergence speed. APSO enables automatic control of weight, acceleration coefficients, and other parameters to improve efficiency and convergence speed. . Results show that APSO substantially enhances the performance of the PSO paradigm in terms of convergence speed, and solution accuracy, and algorithm reliability.
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