Aroniadi, C.; Beligiannis, G. N. Solving Fuzzy Transportation Problem: Exploring a Novel Particle Swarm Optimization Approach. Preprints2024, 2024050157. https://doi.org/10.20944/preprints202405.0157.v1
APA Style
Aroniadi, C., & Beligiannis, G. N. (2024). Solving Fuzzy Transportation Problem: Exploring a Novel Particle Swarm Optimization Approach. Preprints. https://doi.org/10.20944/preprints202405.0157.v1
Chicago/Turabian Style
Aroniadi, C. and Grigorios N. Beligiannis. 2024 "Solving Fuzzy Transportation Problem: Exploring a Novel Particle Swarm Optimization Approach" Preprints. https://doi.org/10.20944/preprints202405.0157.v1
Abstract
The Fuzzy Transportation Problem (FTP) represents a significant extension of the Classical Transportation Problem (TP) by introducing uncertainly and imprecision into the parameters involved. Various algorithms have been proposed to solve the FTP, including fuzzy linear programming, metaheuristic algorithms and fuzzy mathematical programming techniques combined with Artificial Neural Networks. This paper presents the application of Trigonometric Acceleration Coefficients-PSO (TrigAc-PSO), a variation of the Classical Particle Swarm optimization algorithm, which is an innovative algorithm originally developed for solving the TP. TrigAC-PSO, has demonstrated remarkable success in optimizing various problem domains in crisp environments.
Keywords
transportation problem; particle swarm optimization; fuzzy logic; fuzzy costs, variations of PSO; fuzzy transportation problem
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
