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Adaptive-Partitioning-Based Stochastic Optimization Algorithm and Its Application to Fuzzy Control Design

  • Chang-Wook Han
  • Jung-Il Park
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3955)

Abstract

A random signal-based learning merged with simulated annealing (SARSL), which is serial algorithm, has been considered by the authors. But the serial nature of SARSL degrades its performance as the complexity of the search space is increasing. To solve this problem, this paper proposes a population structure of SARSL (PSARSL) which enables multi-point search. Moreover, adaptive partitioning method (APM) is used to reduce the optimization time. The validity of the proposed algorithm is conformed by applying it to a simple test function example and a general version of fuzzy controller design.

Keywords

Simulated Annealing Fuzzy Controller Inverted Pendulum Simple Genetic Algorithm Serial Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Chang-Wook Han
    • 1
  • Jung-Il Park
    • 1
  1. 1.School of Electrical Engineering and Computer ScienceYeungnam UniversityGyongbukSouth Korea

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