A multi-objective integrated model for selecting, scheduling, and budgeting road construction projects
| Autor: | Seyed Reza Hejazi, Seyyed-Nader Shetab-Boushehri, Seyyed-Mohammadreza Hosseininasab, Hadi Karimi |
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| Rok vydání: | 2018 |
| Předmět: |
050210 logistics & transportation
Information Systems and Management General Computer Science Road construction Operations research Computer science media_common.quotation_subject 05 social sciences Sorting 02 engineering and technology Management Science and Operations Research Industrial and Manufacturing Engineering Scheduling (computing) Network planning and design Identification (information) Modeling and Simulation 0502 economics and business Genetic algorithm 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Quality (business) Ordered logit media_common |
| Zdroj: | European Journal of Operational Research. 271:262-277 |
| ISSN: | 0377-2217 |
| Popis: | In this paper, an integrated model for selecting, scheduling, and budgeting urban road construction projects is introduced as a multi-objective time-dependent bi-level network design problem. Three criteria are considered as upper-level objective functions: total travel time, user satisfaction over time, and spatial equity. Two new measures are developed to assess network design scenarios from the perspectives of user satisfaction over time and spatial equity. Given the great complexity of the intended problem, two multi-objective evolutionary approaches (an interactive and a-posteriori) are proposed to solve the model in a reasonable time. These two approaches are novel combinations of different techniques, such as: Genetic Algorithm (GA), Non-dominated Sorting Genetic Algorithm (NSGA-II), Frank-Wolfe algorithm, ordered logit model, and knees identification algorithm. Computational results for various test problems show that proposed approaches have acceptable performance in terms of both solution quality and solution time. To show applicability of the proposed approach in large-sized networks, it is applied to a real case on Isfahan City in Iran. |
| Databáze: | OpenAIRE |
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