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Weak Estimator-Based Stochastic Searching on the Line in Dynamic Dual Environments | IEEE Journals & Magazine | IEEE Xplore

Weak Estimator-Based Stochastic Searching on the Line in Dynamic Dual Environments


Abstract:

Stochastic point location deals with the problem of finding a target point on a real line through a learning mechanism (LM) with the stochastic environment (SE) offering ...Show More

Abstract:

Stochastic point location deals with the problem of finding a target point on a real line through a learning mechanism (LM) with the stochastic environment (SE) offering directional information. The SE can be further categorized into an informative or deceptive one, according to whether {p} is above 0.5 or not, where {p} is the probability of providing a correct suggestion of a direction to LM. Several attempts have been made for LM to work in both types of environments, but none of them considers a dynamically changing environment where {p} varies with time. A dynamic dual environment involves fierce changes that frequently cause its environment to switch from an informative one to a deceptive one, or vice versa. This article presents a novel weak estimator-based adaptive step search solution, to enable LM to track the target in a dynamic dual environment, with the help of a weak estimator. The experimental results show that the proposed solution is feasible and efficient.
Published in: IEEE Transactions on Cybernetics ( Volume: 52, Issue: 7, July 2022)
Page(s): 6109 - 6118
Date of Publication: 25 May 2021

ISSN Information:

PubMed ID: 34033553

Funding Agency:


References

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