Multi-Objective Optimization of Steel Pipe Pile Cofferdam Construction Based on Improved Sparrow Search Algorithm

This paper develops a multi-objective optimization model to address the absence of systematic and practical evaluation methods for selecting construction schemes for steel pipe pile cofferdams. The model aims to minimize duration and cost while maximizing quality. Additionally, it proposes an improv...

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Vydáno v:Applied sciences Ročník 14; číslo 22; s. 10407
Hlavní autoři: Jiang, Zaolong, Yang, Chengfang, Yue, Hongbo
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.11.2024
Témata:
Algorithms
Analysis
Drilling & boring machinery
Engineering
Genetic algorithms
Highway construction
multi-objective optimization
non-dominated sorting
Objectives
Optimization
sparrow search algorithm
steel pipe pile cofferdam
Steel pipes
Steel products
tent chaotic map
Total quality
Urban planning
ISSN:2076-3417, 2076-3417
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Abstract This paper develops a multi-objective optimization model to address the absence of systematic and practical evaluation methods for selecting construction schemes for steel pipe pile cofferdams. The model aims to minimize duration and cost while maximizing quality. Additionally, it proposes an improved sparrow search algorithm (ISSA) to solve this problem. First, a tent chaotic map is introduced to initialize the sparrow population, enhancing the diversity of the initial population. Second, the principle of non-dominated ordering is introduced to sort the parent and offspring populations during the iteration process, and the appropriate individuals are selected to form the offspring population. Finally, gray correlation analysis is applied to optimize the Pareto solution set and determine the final construction scheme. The effectiveness and superiority of the ISSA is verified by using the Changsha Jinan Avenue project as a case study. The results indicate that the quality of the optimized construction scheme remains at a high level of 0.90 or more; the duration is shortened by 18 days, a reduction of 21%; and the total cost is reduced by CNY 220,000, saving 3% of the cost.
AbstractList This paper develops a multi-objective optimization model to address the absence of systematic and practical evaluation methods for selecting construction schemes for steel pipe pile cofferdams. The model aims to minimize duration and cost while maximizing quality. Additionally, it proposes an improved sparrow search algorithm (ISSA) to solve this problem. First, a tent chaotic map is introduced to initialize the sparrow population, enhancing the diversity of the initial population. Second, the principle of non-dominated ordering is introduced to sort the parent and offspring populations during the iteration process, and the appropriate individuals are selected to form the offspring population. Finally, gray correlation analysis is applied to optimize the Pareto solution set and determine the final construction scheme. The effectiveness and superiority of the ISSA is verified by using the Changsha Jinan Avenue project as a case study. The results indicate that the quality of the optimized construction scheme remains at a high level of 0.90 or more; the duration is shortened by 18 days, a reduction of 21%; and the total cost is reduced by CNY 220,000, saving 3% of the cost.
Audience Academic
Author Yue, Hongbo
Jiang, Zaolong
Yang, Chengfang
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10.1061/(ASCE)GT.1943-5606.0001911
10.1139/cgj-2016-0561
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10.1109/TEM.2006.883705
10.1016/j.jlp.2011.01.001
10.1061/(ASCE)CO.1943-7862.0000256
10.1007/s40436-021-00366-x
10.1016/j.engappai.2013.05.006
10.1109/4235.996017
10.1007/s12293-019-00290-5
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SubjectTerms Algorithms
Analysis
Drilling & boring machinery
Engineering
Genetic algorithms
Highway construction
multi-objective optimization
non-dominated sorting
Objectives
Optimization
sparrow search algorithm
steel pipe pile cofferdam
Steel pipes
Steel products
tent chaotic map
Total quality
Urban planning
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Title Multi-Objective Optimization of Steel Pipe Pile Cofferdam Construction Based on Improved Sparrow Search Algorithm
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