Adaptive-Partitioning-Based Stochastic Optimization Algorithm and Its Application to Fuzzy Control Design
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.
KeywordsSimulated Annealing Fuzzy Controller Inverted Pendulum Simple Genetic Algorithm Serial Algorithm
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