期刊
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
卷 40, 期 -, 页码 36-48出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trc.2013.12.010
关键词
Highway alignment optimization; Multi-objective optimization; Highway costs; Highway impacts; Trade-off
资金
- National Science Foundation (NSF) [0740958]
- Directorate For Engineering
- Div Of Industrial Innovation & Partnersh [0740958] Funding Source: National Science Foundation
This paper presents a GIS-based multi-objective optimization model, particularly designed to aid highway engineers and planners in proposing competitive highway alignment alternatives when building a new highway or expanding an existing highway. The proposed model can effectively examine tradeoffs among various objectives that represent possibly conflicting interests of different stakeholders. A Hybrid Multi-Objective Genetic Algorithm, which utilizes designers' knowledge about the preference of decision makers, is developed to search for a set of Pareto-optimal solutions with an acceptable level of diversity. Two case studies demonstrate the capability of the proposed approach in providing multiple trade-off solutions. The results indicate that the incorporation of preference information, even if preliminary in nature, has great potential to save computation time and improve the quality of the obtained Pareto-optimal set. (C) 2014 Elsevier Ltd. All rights reserved.
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