International Journal of Advances in Intelligent Informatics
Vol 1, No 2 (2015): July 2015

Automatic differentiation based for particle swarm optimization Steepest descent direction

Aris Thobirin (University of Ahmad Dahlan)
Iwan Tri Riyadi Yanto (University of Ahmad Dahlan)

Article Info

Publish Date
31 Jul 2015

Abstract

Particle swam optimization (PSO) is one of the most effective optimization methods to find the global optimum point. In other hand, the descent direction (DD) is the gradient based method that has the local search capability. The combination of both methods is promising and interesting to get the method with effective global search capability and efficient local search capability. However, In many application, it is difficult or impossible to obtain the gradient exactly of an objective function. In this paper, we propose Automatic differentiation (AD) based for PSODD. we compare our methods on benchmark function. The results shown that the combination methods give us a powerful tool to find the solution.

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Journal Info
International Journal of Advances in Intelligent Informatics
Website

Abbrev

IJAIN

Publisher

Universitas Ahmad Dahlan

Subject

Computer Science & IT

Description

International journal of advances in intelligent informatics (IJAIN) e-ISSN: 2442-6571 is a peer reviewed open-access journal published three times a year in English-language, provides scientists and engineers throughout the world for the exchange and dissemination of theoretical and ...