TY - GEN
T1 - Comparative Analysis of Metaheuristics Techniques for Trade Data Harmonization
AU - Khargharia, Himadri Sikhar
AU - Shakya, Sid
AU - Ruta, Dymitr
N1 - Publisher Copyright:
© 2023 by SCITEPRESS – Science and Technology Publications, Lda.
PY - 2023
Y1 - 2023
N2 - The harmonization of trade data from two datasets containing different and distinct categories poses a challenging real-world problem. To address this issue, we model it as an optimization problem and investigate the effectiveness of various metaheuristic techniques in achieving optimal or near-optimal solutions. Particularly, we analyze the performance of Genetic Algorithm (GA), Population-based Incremental Learning (PBIL), DEUM, and Simulated Annealing (SA) in terms of best fitness, scalability, and their respective strengths and weaknesses. We explore multiple instances of the trade data harmonisation problem of different sizes to assess the applicability of these techniques in mitigating trade volume disparities. By examining the outcomes, our research offers valuable insights into the suitability of metaheuristic techniques for this problem.
AB - The harmonization of trade data from two datasets containing different and distinct categories poses a challenging real-world problem. To address this issue, we model it as an optimization problem and investigate the effectiveness of various metaheuristic techniques in achieving optimal or near-optimal solutions. Particularly, we analyze the performance of Genetic Algorithm (GA), Population-based Incremental Learning (PBIL), DEUM, and Simulated Annealing (SA) in terms of best fitness, scalability, and their respective strengths and weaknesses. We explore multiple instances of the trade data harmonisation problem of different sizes to assess the applicability of these techniques in mitigating trade volume disparities. By examining the outcomes, our research offers valuable insights into the suitability of metaheuristic techniques for this problem.
KW - Distribution Estimation Using MRF
KW - Genetic Algorithm
KW - Population-Based Incremental Learning
KW - Simulated Annealing
KW - Trade Data Harmonisation
UR - http://www.scopus.com/inward/record.url?scp=85188232613&partnerID=8YFLogxK
U2 - 10.5220/0012176600003595
DO - 10.5220/0012176600003595
M3 - Conference contribution
AN - SCOPUS:85188232613
T3 - International Joint Conference on Computational Intelligence
SP - 206
EP - 213
BT - Proceedings of the 15th International Joint Conference on Computational Intelligence, IJCCI 2023
A2 - van Stein, Niki
A2 - Marcelloni, Francesco
A2 - Lam, H. K.
A2 - Cottrell, Marie
A2 - Filipe, Joaquim
T2 - 15th International Joint Conference on Computational Intelligence, IJCCI 2023
Y2 - 13 November 2023 through 15 November 2023
ER -