Bilevel optimization: theory, algorithms, applications and a bibliography
S Dempe - Bilevel optimization: advances and next challenges, 2020 - Springer
Bilevel optimization problems are hierarchical optimization problems where the feasible
region of the so-called upper level problem is restricted by the graph of the solution set …
region of the so-called upper level problem is restricted by the graph of the solution set …
Multi-level decision making
G Zhang, J Lu, Y Gao - Models, Methods and Applications, 2015 - Springer
Multi-level decision-making (MLDM) handles problems that require compromise between
the objectives of two or more interacting entities which are arranged within a hierarchical …
the objectives of two or more interacting entities which are arranged within a hierarchical …
A bilevel programming model for corporate social responsibility collaboration in sustainable supply chain management
CF Hsueh - Transportation Research Part E: Logistics and …, 2015 - Elsevier
This study proposes a bilevel programming model in which the supply chain (SC) director
determines optimal performance levels of corporate social responsibility (CSR) and …
determines optimal performance levels of corporate social responsibility (CSR) and …
[BUCH][B] Bilevel optimization: theory, algorithms and applications
S Dempe - 2018 - optimization-online.org
Bilevel optimization problems are hierarchical optimization problems where the feasible
region of the so-called upper level problem is restricted by the graph of the solution set …
region of the so-called upper level problem is restricted by the graph of the solution set …
Do changes in the residential location lead to changes in travel attitudes? A structural equation modeling approach
Numerous studies have found that travel attitudes might not only affect travel behavior, but
also the residential location choice as people might choose a residential location based on …
also the residential location choice as people might choose a residential location based on …
Sensitivity analysis for transit equilibrium assignment and applications to uncertainty analysis
Systematic uncertainty analysis can be used to quantitatively evaluate variation in model
outputs and identify the critical sources of uncertainty to improve the reliability and stability of …
outputs and identify the critical sources of uncertainty to improve the reliability and stability of …
Estimating multi-year 24/7 origin-destination demand using high-granular multi-source traffic data
Dynamic origin-destination (OD) demand is central to transportation system modeling and
analysis. The dynamic OD demand estimation problem (DODE) has been studied for …
analysis. The dynamic OD demand estimation problem (DODE) has been studied for …
Statistical inference of probabilistic origin-destination demand using day-to-day traffic data
Recent transportation network studies on uncertainty and reliability call for modeling the
probabilistic OD demand and probabilistic network flow. Making the best use of day-to-day …
probabilistic OD demand and probabilistic network flow. Making the best use of day-to-day …
Urban Day-to-Day Travel and Its Development in an Information Environment: A Review
W Nai, Z Yang, D Li, L Liu, Y Fu, Y Guo - Sustainability, 2024 - mdpi.com
Urban day-to-day travel systems generally exist in various types of cities. Their modeling is
difficult due to the uncertainty of individual travelers in micro travel decision-making …
difficult due to the uncertainty of individual travelers in micro travel decision-making …
Nested hybrid evolutionary model for traffic signal optimization
Abstract A noble Nested Hybrid Evolutionary Model is presented to reduce the wait time of
vehicles at traffic signals and improve the mobility within the road network. In effect, it …
vehicles at traffic signals and improve the mobility within the road network. In effect, it …