Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Multi-objective optimization for pavement maintenance and rehabilitation decision-making: A critical review and future directions
Abstract The next-generation of pavement maintenance and rehabilitation (M&R) decision-making needs to weigh multiple strategic goals to achieve sustainable development through the pavement maintenance management system (PMMS). Motivated by good versatility in solving highly complex conflict problems, the application of multi-objective optimization (MOO) for pavement M&R has recently become a hot-spot issue. This review aims to provide the state-of-the-art development and application of MOO methods for the PMMS decision-making module and the associated MOO model, decision-making tools, and optimization techniques. The strategic decision-making goals, decision processes, sources and characterization methods of uncertainty, intelligent algorithm followed across the globe were reviewed. Further, the latest development of multi-objective decision-aid tools (MODAT) for PMMS was discussed while emphasizing the importance of establishing joint MOO optimization model of multiple facilities and multiple M&R techniques for PMMS to achieve intelligent decision-making. The existing deficiencies and future direction of research have been discussed.
Graphical abstract Display Omitted
Highlights Reviewed multi-objective optimization studies on pavement maintenance management. Classified MOO models in pavement maintenance management system. Discussed utilization of various heuristic techniques for PMMS decision making. Proposed the design concept of a new generation of MOO decision-aid tools for PMMS. Recommended joint multi-objective optimizations for future studies.
Multi-objective optimization for pavement maintenance and rehabilitation decision-making: A critical review and future directions
Abstract The next-generation of pavement maintenance and rehabilitation (M&R) decision-making needs to weigh multiple strategic goals to achieve sustainable development through the pavement maintenance management system (PMMS). Motivated by good versatility in solving highly complex conflict problems, the application of multi-objective optimization (MOO) for pavement M&R has recently become a hot-spot issue. This review aims to provide the state-of-the-art development and application of MOO methods for the PMMS decision-making module and the associated MOO model, decision-making tools, and optimization techniques. The strategic decision-making goals, decision processes, sources and characterization methods of uncertainty, intelligent algorithm followed across the globe were reviewed. Further, the latest development of multi-objective decision-aid tools (MODAT) for PMMS was discussed while emphasizing the importance of establishing joint MOO optimization model of multiple facilities and multiple M&R techniques for PMMS to achieve intelligent decision-making. The existing deficiencies and future direction of research have been discussed.
Graphical abstract Display Omitted
Highlights Reviewed multi-objective optimization studies on pavement maintenance management. Classified MOO models in pavement maintenance management system. Discussed utilization of various heuristic techniques for PMMS decision making. Proposed the design concept of a new generation of MOO decision-aid tools for PMMS. Recommended joint multi-objective optimizations for future studies.
Multi-objective optimization for pavement maintenance and rehabilitation decision-making: A critical review and future directions
Chen, Wang (Autor:in) / Zheng, Mulian (Autor:in)
21.07.2021
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Decision-Making Problem for Managing Pavement Maintenance and Rehabilitation Projects
| British Library Online Contents | 2003
Pavement maintenance and rehabilitation optimization based on cloud decision tree
| Springer Verlag | 2021