An efficient slime mould algorithm for solving multi-objective optimization problems
Recently, the Slime mould algorithm (SMA) was proposed to solve the single-objective
optimization problems. It is considered as a strong algorithm for its efficient global search …
optimization problems. It is considered as a strong algorithm for its efficient global search …
Collaborative multicenter vehicle routing problem with time windows and mixed deliveries and pickups
This study focuses on the collaborative multicenter vehicle routing problem with time
windows and mixed deliveries and pickups (CMVRPTWMDP), which is a variant of the …
windows and mixed deliveries and pickups (CMVRPTWMDP), which is a variant of the …
Integrated electric logistics vehicle recharging station location–routing problem with mixed backhauls and recharging strategies
The widespread application of electric vehicles for city last-mile logistics has been enhanced
by the emerging trend of urban sustainable mobility, which intends to reduce vehicle …
by the emerging trend of urban sustainable mobility, which intends to reduce vehicle …
Assessing the benefits of horizontal collaboration using an integrated planning model for two-echelon energy efficiency-oriented logistics networks design
The transition to modern and ecologically oriented industries requires the application of new
approaches and advanced models of logistics management. In this context, horizontal …
approaches and advanced models of logistics management. In this context, horizontal …
Real-time collaborative feeder vehicle routing problem with flexible time windows
MS Sarbijan, J Behnamian - Swarm and Evolutionary Computation, 2022 - Elsevier
Today, transportation has become a vital service due to increased competition among
businesses. In this regard, customer service is one of the major challenges of logistics units …
businesses. In this regard, customer service is one of the major challenges of logistics units …
[HTML][HTML] Optimising vehicle and on-foot porter routing in urban logistics
As modern cities expand, parcel carriers are obliged to deal with the various last-mile
challenges of the urban setting, in order to meet the ever-increasing requirements of …
challenges of the urban setting, in order to meet the ever-increasing requirements of …
An advanced system to enhance and optimize delivery operations in a smart logistics environment
Optimization of order dispatch operations and delivery time prediction is a major concern in
supply chains, mainly for e-commerce, which requires the implementation of advanced …
supply chains, mainly for e-commerce, which requires the implementation of advanced …
A combined GA-TS algorithm for two-echelon dynamic vehicle routing with proactive satellite stations
The make-to-stock strategy can improve the operational efficiency of urban freight delivery,
especially in a dynamic transportation system with idle storage resources. This study …
especially in a dynamic transportation system with idle storage resources. This study …
Space-time clustering-based method to optimize shareability in real-time ride-sharing
Real-time ride-sharing has become popular in recent years. However, the underlying
optimization problem for this service is highly complex. One of the most critical challenges …
optimization problem for this service is highly complex. One of the most critical challenges …
An integrated optimization model and metaheuristics for assortment planning, shelf space allocation, and inventory management of perishable products: a real …
SJ Sajadi, A Ahmadi - Plos one, 2022 - journals.plos.org
Product category management (PCM) plays a pivotal role in today's large stores. PCM
manages to answer questions such as assortment planning (AP) and shelf space allocation …
manages to answer questions such as assortment planning (AP) and shelf space allocation …