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Fuzzy Takagi-Sugeno Simulated Annealing for Simple Assembly Line Balancing Problem

Abstract

We propose a Fuzzy Takagi-Sugeno Simulated Annealing Algorithm (FTSSAA), that self-adapts it general parameters using a fuzzy model with a Takagi-Sugeno (TSK) controllers to solve the Simple Assembly Line Balancing Problem of type I (SALBP-I). The performance of the proposed model was verified against a standard Simulated Annealing algorithm on different instances of SALBP-I

Research topics

  • Assembly Line Balancing Optimization

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DOI: 10.1109/mscc62288.2024.10696986

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