This paper presents a passenger-centric approach for multimodal timetable optimization. We suggest a many-objective mixed programming model that takes the ...

In order to find balanced solutions, we propose the hybrid method FHR-NSGA-III, which combines FH-MOEA with Reference Point Based Multi-Objective Optimization ...

Oct 10, 2022 · We propose a many-objective mixed programming model considering travel mode choice, by simulating the utility function of passenger travel ...

Nov 1, 2023 · This paper presents a passenger-centric approach for multimodal timetable optimization. We suggest a many-objective mixed programming model that ...

A heuristic search space splicing scheme has been implemented to aid the convergence of the particle swarm optimization (PSO) algorithm to the global optimum.

We suggest a many-objective mixed programming model that takes the travel mode choice into account. By simulating the utility function of passengers' perceived ...

FHR-NSGA-III: A Hybrid Many-Objective Optimizer for. Intercity Multimodal Timetable Optimization Considering. Travel Mode Choice. Jiandong Zhao a, b* , Yingzi ...

FHR-NSGA-III: A hybrid many-objective optimizer for intercity multimodal timetable optimization considering travel mode choice.

Apr 25, 2024 · FHR-NSGA-III: A hybrid many-objective optimizer for intercity multimodal timetable optimization considering travel mode choice. Inf. Sci ...

FHR-NSGA-III: A hybrid many-objective optimizer for intercity multimodal timetable optimization considering travel mode choice. Jiandong Zhao, Yingzi Feng ...