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This document presents an improved particle swarm optimization (PSO) algorithm that incorporates semantic relations based on ontology technology to enhance performance in solving complex multi-stage decision problems, such as the Traveling Salesman Problem (TSP). The proposed algorithm demonstrates superior accuracy and searching efficiency compared to traditional PSO methods, particularly for smaller datasets. Experimental results indicate that the new approach reduces iteration counts and improves the alg
- Author
- Hmachhuana Ralte
- Language
- EN