Multi-objective optimization for a combined location-routing-inventory system considering carbon-capped differences
DOI10.3934/JIMO.2021051zbMath1499.65219OpenAlexW3138477861MaRDI QIDQ2673406
Shoufeng Ji, Minghe Sun, Rongjuan Luo, Jinhuan Tang
Publication date: 9 June 2022
Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/jimo.2021051
carbon emissionsnondominated frontierlocation-routing-inventorycarbon-capped differenceMOPSO heuristic procedure
Numerical mathematical programming methods (65K05) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Some issues in measuring and reporting solution quality of interactive multiple objective programming procedures
- Combined location-routing problems: A synthesis and future research directions
- Profit oriented supply chain network optimization
- Improvements and extensions to Miller-Tucker-Zemlin subtour elimination constraints
- Coordinating a dual-channel supply chain with price discount contracts under carbon emission capacity regulation
- Comparison of GA and PSO approaches for the direct and LQR tuning of a multirotor PD controller
- Evolutionary Multi-Criterion Optimization
This page was built for publication: Multi-objective optimization for a combined location-routing-inventory system considering carbon-capped differences