A bi-level model and hybrid heuristic algorithm for the optimal location of prefabricated building industrial park

Huang, Ruopeng; Li, Kaijian; Liu, Guiwen; Shrestha, Asheem; Chang, Ruidong; Tang, Xiaoya

doi:10.1016/j.engappai.2022.105393

Cited by 8 publications

(2 citation statements)

References 76 publications

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“…In addition many Heuristic and Meta-Heuristic solution methods like Branch-and-Bound, Lagrangian Relaxation, Simulated Annealing, Genetic Algorithm, Iterated Local Search etc. have also been employed [17,19,[23][24][25][26]. Many real-life applications can be found in the domain of HLPs.…”

Section: Literature Reviewmentioning

confidence: 99%

A Multiobjective Evolutionary Approach to Solving Single-Allocation Hub Median Problem

Bhattacharjee,

Mukhopadhyay

2024

Preprint

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This article presents a multiobjective formulation for the well-known Single-Allocation Hub Median Problem (MO-SA-H-MP). The objective of MO-SA-H-MP is to develop a three-level architecture consisting of demand nodes, hubs, and central hubs, for reducing transportation costs among nodes, while considering two objectives. The first objective is focused on reducing the overheads associated with hubs and central hubs, while the second objective is aimed at reducing transportation costs among nodes. The paper uses two approaches to solve MO-SA-H-MP. The first approach is based on the NSGA-II algorithm, while the second approach uses a Genetic Algorithm (GA) with a local refinement-based technique to solve each objective separately. The resultant network obtained from GA is applied to the other objective, and the solutions of both approaches are compared. The NSGA-II-based approach is found to perform equivalently to the exact method in 48.32% of cases, perform better than the indirect approach of solving each objective separately in more than 81.67% of cases, and have a deviation of less than 10% in 67.50% of cases from the direct approach for solving each objective separately using the Refined GA-based technique.

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Section: Literature Reviewmentioning

confidence: 99%

A Multiobjective Evolutionary Approach to Solving Single-Allocation Hub Median Problem

Bhattacharjee,

Mukhopadhyay

2024

Preprint

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“…With the rapid development of AI technology, production scheduling optimization for prefabricated buildings will add a new boost (Huang et al, 2022). Future production scheduling optimization will be the integration of a variety of optimization algorithms (genetic algorithm, mixed integer linear programming, differential evolution, etc.…”

Section: Future Research Directions For Precast Production Schedulingmentioning

confidence: 99%

A Review of Production Scheduling for Prefabricated Building Components

Zhang,

Chen

et al. 2024

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The development of prefabricated buildings is changing rapidly, and production scheduling has an important impact on its development, so the optimization of production scheduling for prefabricated building components has been of particular concern to the construction industry in recent years. This paper conducts bibliometric and visuals analysis of production scheduling literature in the Scopus database by using VOS viewer analysis software, and study in-depth a series of methods and optimization techniques developed and adopted in recent years for production scheduling of prefabricated buildings. This paper summarizes the general trends in production scheduling for prefabricated buildings in the last decade and provides insights into the technologies and methods that have enabled the optimization of production scheduling problems in recent years. The potential for effective integration and consolidation between these new technologies in the context of production scheduling is also explored in the future with the rise of emerging technologies such as artificial intelligence techniques and machine learning. In conclusion, production scheduling optimization methods for prefabricated buildings should be continuously innovated and effectively integrated so as to effectively promote the development of prefabricated buildings and accelerate the transformation and upgrading of the construction industry.

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Simulation-based decision support system for earthmoving operations using computer vision

Zamani

Taghaddos

Gholipour

2023

Engineering Applications of Artificial Intelligence

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A bi-level model and hybrid heuristic algorithm for the optimal location of prefabricated building industrial park

Cited by 8 publications

References 76 publications

A Multiobjective Evolutionary Approach to Solving Single-Allocation Hub Median Problem

A Multiobjective Evolutionary Approach to Solving Single-Allocation Hub Median Problem

A Review of Production Scheduling for Prefabricated Building Components

Simulation-based decision support system for earthmoving operations using computer vision

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