TY - JOUR
T1 - Improved multi-search strategy A* algorithm to solve three-dimensional pipe routing design
AU - Liu, Chao
AU - Wu, Lei
AU - Li, Guangxin
AU - Zhang, Hao
AU - Xiao, Wensheng
AU - Xu, Dengpan
AU - Guo, Jingjing
AU - Li, Wentao
N1 - Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2024/4/15
Y1 - 2024/4/15
N2 - Pipe routing design (PRD) has a significant impact on the safety and operational efficiency of the system. PRD is involved in multi-disciplinary knowledge such as mechanical engineering, computer graphics and mathematical geometry, and it can be abstracted as a complex combined optimization problem. A* algorithm is one of the most commonly employed approaches to solve two-dimensional (2-D) path planning. However, due to the central idea of A* algorithm is all-traversal search, the search process considers all possibilities and requires a blind search one by one, it is difficult to solve PRD problems in complex three-dimensional (3-D) space environment. In this study, an improved multi-search strategy A* algorithm (MSSA*) is presented to overcome the disadvantages of the traditional A* algorithm in solving 3-D PRD problems. The MSSA* algorithm contains four novel mechanisms which are the node directional discrimination rule, the double-layer domain extension search strategy, the multi-factor heuristic evaluation function, and the dynamic adaptive weighting strategy. Then, a range of experiments are conducted to prove the validity of the presented mechanisms. Subsequently, the MSSA* is compared with several existing algorithms for solving 3-D PRD to further verify the superiority of MSSA* in terms of high-efficiency and practicality. Finally, the MSSA* is applied to solve the 3-D PRD problems for offshore production platforms in oil and gas treatment system.
AB - Pipe routing design (PRD) has a significant impact on the safety and operational efficiency of the system. PRD is involved in multi-disciplinary knowledge such as mechanical engineering, computer graphics and mathematical geometry, and it can be abstracted as a complex combined optimization problem. A* algorithm is one of the most commonly employed approaches to solve two-dimensional (2-D) path planning. However, due to the central idea of A* algorithm is all-traversal search, the search process considers all possibilities and requires a blind search one by one, it is difficult to solve PRD problems in complex three-dimensional (3-D) space environment. In this study, an improved multi-search strategy A* algorithm (MSSA*) is presented to overcome the disadvantages of the traditional A* algorithm in solving 3-D PRD problems. The MSSA* algorithm contains four novel mechanisms which are the node directional discrimination rule, the double-layer domain extension search strategy, the multi-factor heuristic evaluation function, and the dynamic adaptive weighting strategy. Then, a range of experiments are conducted to prove the validity of the presented mechanisms. Subsequently, the MSSA* is compared with several existing algorithms for solving 3-D PRD to further verify the superiority of MSSA* in terms of high-efficiency and practicality. Finally, the MSSA* is applied to solve the 3-D PRD problems for offshore production platforms in oil and gas treatment system.
KW - A algorithm
KW - Offshore production platforms
KW - Path planning
KW - Pipe routing design
UR - http://www.scopus.com/inward/record.url?scp=85177782191&partnerID=8YFLogxK
U2 - 10.1016/j.eswa.2023.122313
DO - 10.1016/j.eswa.2023.122313
M3 - Article
AN - SCOPUS:85177782191
SN - 0957-4174
VL - 240
JO - Expert Systems with Applications
JF - Expert Systems with Applications
M1 - 122313
ER -