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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Adaptive-Partitioning-Based Stochastic Optimization Algorithm and Its Application to Fuzzy Control Design
verfasst von : Chang-Wook Han, Jung-Il Park
Erschienen in: Advances in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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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.