… The weights are empirically derived based on historical data gathered from the reverse
logistics network. In this paper, a genetic algorithm (GA) is used for weight training since it is …

… quantitative and qualitative model using genetic algorithm and fuzzy logic cognitive maps
to measure the performance of a RFID enabled RL enterprise. The research included 28 …

… with other random search techniques including genetic algorithm (GA), simulated annealing
(SA), … in return rate and economical impact of RFID on a reverse logistics concern. In order to …

… in Reverse Logistics, by considering multiple objectives, including transportation cost,
balanced driver workload, logistics … HGATRS consists of four modules: The RFID-based Data …

… After discussing the concepts and methodology for reserve logistics performance evaluation…
data gathered from the reverse logistics network. In this paper, a genetic algorithm (GA) is …

… This chapter will throw some light on Reverse Logistics and the practices that are involved
in RL. Background information pertaining to this research will be covered in this section. The …

Corrigendum to “Genetic algorithm dynamic performance evaluation for RFID reverse
logistic management― [Expert Syst … Corrigendum to ‘‘Genetic algorithm dynamic …

… compare the basic and RFID-diffused reverse logistics model, and to … RFID technology on
reverse logistics cost factors. In this sense, a general and an RFID-integrated reverse logistics …

… performance evaluation model for reverse logistics. The weights of all assessment dimensions,
strategic themes and performance … The impacts of RFID technology on supply chain-the …

… Though the solution using genetic algorithm may not be … a performance evaluation analytic
for the reverse logistics to … evaluate the performance of RFID enabled reverse logistics …