A comparative study of GA and PSO approach for cost optimisation in product recovery systems
| Year of publication: |
2023
|
|---|---|
| Authors: | Dwivedi, Ashish ; Madaan, Jitender ; Chan, Felix T. S. ; Dalal, Mohit |
| Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 61.2023, 4, p. 1283-1297
|
| Subject: | Fast moving consumer goods (FMCG) | genetic algorithm (GA) | mixed integer linear programming (MILP) | particle swarm optimisation (PSO) | Product recovery system (PRS) | Mathematische Optimierung | Mathematical programming | Betriebliche Kreislaufwirtschaft | Reverse logistics | Evolutionärer Algorithmus | Evolutionary algorithm | Theorie | Theory |
-
A VNS algorithm for a disassembly cell formation problem with demand variability
Mar-Ortiz, Julio, (2014)
-
Robust optimisation approach to the design of service networks for reverse logistics
Piplani, Rajesh, (2012)
-
Service-oriented bi-objective robust collection-disassembly problem with equipment selection
Liu, Xin, (2021)
- More ...
-
Strategies for evaluating performance of flexibility in product recovery system
Madaan, Jitender, (2016)
-
An empirical analysis of freight mode choice factors amid the COVID-19 outbreak
Shardeo, Vipulesh, (2022)
-
Hui, Jizhuang, (2025)
- More ...