Zobrazeno 1 - 10
of 45 494
pro vyhledávání: '"ant colony"'
Publikováno v:
Alexandria Engineering Journal, Vol 109, Iss , Pp 841-855 (2024)
Shortest path problems in graph theory are applicable in areas like emergency services, mapping software, and computer networks. Fuzzy arc weights introduce uncertainty, typically managed with α-cuts and least squares methods. This research introduc
Externí odkaz:
https://doaj.org/article/eba28c8e53ae42bab2cc190b55c1aa3c
Publikováno v:
Rapid Prototyping Journal, 2024, Vol. 30, Issue 10, pp. 2089-2096.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RPJ-03-2024-0110
Publikováno v:
International Journal of Pervasive Computing and Communications, 2022, Vol. 20, Issue 5, pp. 579-592.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJPCC-06-2022-0245
Publikováno v:
Modern Supply Chain Research and Applications, Vol 6, Iss 4, Pp 376-392 (2024)
Purpose – This study aims to examine the impact of the decision makers’ risk preference on logistics routing problem, contributing to logistics behavior analysis and route integration optimization under uncertain environment. Due to the unexpecte
Externí odkaz:
https://doaj.org/article/db759d3d1c184dc28e6f24720819b505
Autor:
Ahmed Abdulmunem Hussein
Publikováno v:
Jurnal Sisfokom, Vol 13, Iss 3, Pp 388-395 (2024)
This paper addresses the Hybrid Flow Shop Scheduling Problem (HFSSP) by integrating metaheuristic (MHs) and machine learning (ML) approaches. Specifically, we propose a hybrid algorithm by combining Ant Colony Optimization (ACO) and Iterated Local Se
Externí odkaz:
https://doaj.org/article/dc8bcbfd205146f9b7f672dc6b593b21
Publikováno v:
Journal of Industrial Engineering and Management, Vol 17, Iss 3, Pp 853-872 (2024)
Purpose: The research purpose is to enhance picking performance by developing a hybrid algorithm that classifies SKU, determines slot, and routes the process for Delivery Order (DO). Design/methodology/approach: FSN classification is used for catego
Externí odkaz:
https://doaj.org/article/58e6f9bb4e4c4c8083f0a4ebe91cc8c7
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-14 (2024)
Abstract The current investigation aimed to develop a novel approach for risk prediction modeling of clinical outcomes in common diseases based on computational and human intelligence techniques with no a priori input on risk factors using real-world
Externí odkaz:
https://doaj.org/article/59050ac1ec924837b777ff49a67d2b41
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 19, Iss 5, Pp 35-42 (2024)
Objective In order to improve the actual efficiency of microbubble drag reduction technology, this study develops intelligent airflow control technology for microbubble drag reduction based on an improved ant colony optimization (ACO) algorithm.Metho
Externí odkaz:
https://doaj.org/article/cedff6574967413e93285c964046732e
Autor:
Zong‐Shan Wang, Shi‐Jin Li, Hong‐Wei Ding, Gaurav Dhiman, Peng Hou, Ai‐Shan Li, Peng Hu, Zhi‐Jun Yang, Jie Wang
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 5, Pp 1126-1171 (2024)
Abstract The Equilibrium Optimiser (EO) has been demonstrated to be one of the metaheuristic algorithms that can effectively solve global optimisation problems. Balancing the paradox between exploration and exploitation operations while enhancing the
Externí odkaz:
https://doaj.org/article/331191f0d0de4082ac4e2126208d37b5