A literature review on the vehicle routing problem with multiple depots

JR Montoya-Torres, JL Franco, SN Isaza… - Computers & Industrial …, 2015 - Elsevier
In this paper, we present a state-of-the-art survey on the vehicle routing problem with
multiple depots (MDVRP). Our review considered papers published between 1988 and …

Computational intelligence and optimization for transportation big data: challenges and opportunities

EI Vlahogianni - … and Applied Sciences Optimization: Dedicated to the …, 2015 - Springer
With the overwhelming amount of transportation data being gathered worldwide, Intelligent
Transportation Systems (ITS) are faced with several modeling challenges. New modeling …

[HTML][HTML] Evolutionary optimization for disaster relief operations: A survey

YJ Zheng, SY Chen, HF Ling - Applied Soft Computing, 2015 - Elsevier
Effective planning and scheduling of relief operations play a key role in saving lives and
reducing damage in disasters. These emergency operations involve a variety of challenging …

How to improve WEEE management? Novel approach in mobile collection with application of artificial intelligence

A Król, P Nowakowski, B Mrówczyńska - Waste Management, 2016 - Elsevier
In global demand of improvement of electrical and electronic waste management systems,
stakeholders look for effective collection systems that generate minimal costs. In this study …

The impact of Collaborative Transportation Management on supply chain performance: A simulation approach

FTS Chan, T Zhang - Expert Systems with Applications, 2011 - Elsevier
Collaborative Transportation Management (CTM) is based on the interaction and
collaboration between trading partners and carriers participated in the supply chain …

Lean road transportation–a systematic method for the improvement of road transport operations

B Villarreal, JA Garza-Reyes… - Production Planning & …, 2016 - Taylor & Francis
Road transportation has become an important factor in international trade and the
management of supply chains. However, this form of product logistics has generally been …

A multi-objective optimization for supply chain network using the bees algorithm

E Mastrocinque, B Yuce, A Lambiase… - International …, 2013 - journals.sagepub.com
A supply chain is a complex network which involves the products, services and information
flows between suppliers and customers. A typical supply chain is composed of different …

[PDF][PDF] A multi-objective Pareto ant colony algorithm for the Multi-Depot Vehicle Routing problem with Backhauls

JJS Chávez, JW Escobar… - International Journal of …, 2016 - academia.edu
The Multi-Depot Vehicle Routing Problem with Backhauls (MDVRPB) is an operational
problem of the supply chain management. The MDVRPB considers a supply chain involving …

Data-driven multi-objective affective product design integrating three-dimensional form and color

Z Wang, W Liu, M Yang - Neural Computing and Applications, 2022 - Springer
Abstract Three-dimensional (3D) form and color are the main appearance elements that
arouse product emotion. To use more complete data of appearance and emotion and their …

Hybridizing a multi-objective simulated annealing algorithm with a multi-objective evolutionary algorithm to solve a multi-objective project scheduling problem

V Yannibelli, A Amandi - Expert Systems with Applications, 2013 - Elsevier
In this paper, a multi-objective project scheduling problem is addressed. This problem
considers two conflicting, priority optimization objectives for project managers. One of these …