Results 51 to 60 of about 4,867 (222)
Vehicle routing problem in cross-dock using genetic algorithm, Case: Iran Khodro company. [PDF]
Cross-docking is one of the lean logistics tools that is used for uniting the shipments during the loops replacement. Cross-docking is the process of product movement form distribution centers without storage function.
Laya Olfat +2 more
doaj +1 more source
Network modelling of the influence of swelling on the transport behaviour of bentonite [PDF]
Wetting of bentonite is a complex hydro-mechanical process that involves swelling and, if confined, significant structural changes in its void structure.
Athanasiadis, Ignatios +2 more
core +2 more sources
Memetic Search With Interdomain Learning: A Realization Between CVRP and CARP [PDF]
In recent decades, a plethora of dedicated evolutionary algorithms (EAs) have been crafted to solve domain-specific complex problems more efficiently. Many advanced EAs have relied on the incorporation of domain-specific knowledge as inductive biases that is deemed to fit the problem of interest well.
Feng, Liang +3 more
openaire +2 more sources
ABSTRACT The Split Delivery Vehicle Routing Problem with Two‐dimensional Loading Constraints (2L‐SDVRP) integrates vehicle routing, split delivery, and two‐dimensional packing constraints. In the 2L‐SDVRP, customers can be served by multiple vehicles, and their demands consist of different two‐dimensional rectangular items that must be packed in the ...
Kamyla Maria Ferreira +4 more
wiley +1 more source
Workload Equity in Vehicle Routing Problems: A Survey and Analysis
Over the past two decades, equity aspects have been considered in a growing number of models and methods for vehicle routing problems (VRPs). Equity concerns most often relate to fairly allocating workloads and to balancing the utilization of resources ...
Hartl, Richard F. +2 more
core +1 more source
Fast Shapley Value Approximation Through Machine Learning With Application in Routing Problems
ABSTRACT For many routing applications, it is not only necessary to minimize total costs but also to allocate them to individual customers. In this context, the allocation according to the Shapley value is a well‐known method highly regarded for its fulfillment of major fairness criteria.
Johannes Gückel, Pirmin Fontaine
wiley +1 more source
A new hybrid algorithm for solving the capacitated vehicle routing problem (CVRP) with stochastic demands is proposed. This new approach combines the simulated annealing (SA) with the savings algorithms and is implemented to obtain results of several ...
Ernesto Liñán García +2 more
doaj
Artificial intelligence (AI) is increasingly utilized in healthcare logistics, including automated systems for collecting hazardous medical waste from hospitals under strict time and capacity constraints. This study compares three routing algorithms: (1)
Norhan Khallaf +4 more
doaj +1 more source
MENYELESAIKAN VEHICLE ROUTING PROBLEM MENGGUNAKAN ALGORITMA FUZZY EVOLUSI
The purpose of this research is to know the performance of Fuzzy Evolutionary Algorithm in solving one type of Vehicle Routing Problem that is Capacitated Vehicle Routing Problem (CVRP). There are 8 different CVRP data to be solved.
I PUTU ARYA YOGA SUMADI +2 more
doaj +1 more source
On Combining Conventional Point‐To‐Point and Automated Waste Collection Systems
ABSTRACT The global demand for sustainable waste management has spurred initiatives to improve the efficiency of urban waste collection, discussing the advantages and disadvantages of different systems. We analyze a new combined waste collection problem that uses two systems simultaneously: a point‐to‐point system, in which waste is collected using ...
Maryam DehghanChenary +3 more
wiley +1 more source

