A feature correlation reinforce clustering and evolutionary algorithm for the green bike-sharing reposition problem
From MaRDI portal
Publication:6568416
DOI10.1016/j.cor.2024.106627MaRDI QIDQ6568416
Yaping Ren, Hao Zhou, Qiong Liu, Chang Lv, Chaoyong Zhang
Publication date: 8 July 2024
Published in: Computers \& Operations Research (Search for Journal in Brave)
multi-objective optimizationroutingcarbon emissionbike-sharing repositionfeature correlation reinforce clustering
Cites Work
- A speed and departure time optimization algorithm for the pollution-routing problem
- A destroy and repair algorithm for the bike sharing rebalancing problem
- A new mathematical programming model for the green vehicle routing problem
- A heuristic algorithm for a single vehicle static bike sharing rebalancing problem
- Mathematical models for green vehicle routing problems with pickup and delivery: a case of semiconductor supply chain
- The green location-routing problem
- Dynamic lookahead policies for stochastic-dynamic inventory routing in bike sharing systems
- An adaptive large neighborhood search heuristic for the pollution-routing problem
- An adaptive tabu search algorithm embedded with iterated local search and route elimination for the bike repositioning and recycling problem
- A fuzzy correlation based heuristic for dual-mode integrated location routing problem
- Balancing the stations of a self service “bike hire” system
- An integrated ride-matching and vehicle-rebalancing model for shared mobility on-demand services
- An adaptive large neighborhood search method for rebalancing free-floating electric vehicle sharing systems
This page was built for publication: A feature correlation reinforce clustering and evolutionary algorithm for the green bike-sharing reposition problem