A Systematic Parameter Adaption Scheme in APSO
Journal Title: International Journal of Linguistics and Computational Applications - Year 2016, Vol 3, Issue 2
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.
Authors and Affiliations
Sabin Begum
Keywords
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