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• W2912406242 abstract "The identification of a fuzzy model is a complex and nonlinear problem. This can be formulated as a search and optimisation problem and many computing approaches are available in the literature to solve this problem. This research paper is focused on using a new nature inspired approach for fuzzy modeling based on Bat Algorithm which is derived from the behaviour of micro-bats to search for their prey. The bat algorithm approach has been implemented and validated successfully on a rapid battery charger fuzzy controller problem. Currently, the key requirement is real-time solutions to complex problems at a blazing speed. Bat algorithm evolved the optimised fuzzy model within a few seconds as compared to other approaches." @default.
• W2912406242 created "2019-02-21" @default.
• W2912406242 creator A5020202646 @default.
• W2912406242 creator A5060771289 @default.
• W2912406242 date "2019-04-01" @default.
• W2912406242 modified "2023-09-27" @default.
• W2912406242 title "A Novel Approach to Fuzzy Model Identification Based on Bat Algorithm" @default.
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• W2912406242 doi "https://doi.org/10.4018/ijamc.2019040104" @default.
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