Results 21 to 30 of about 200 (108)
Determining Reliable Solutions for the Team Orienteering Problem with Probabilistic Delays
In the team orienteering problem, a fixed fleet of vehicles departs from an origin depot towards a destination, and each vehicle has to visit nodes along its route in order to collect rewards.
Erika M. Herrera +4 more
doaj +1 more source
Solving the time capacitated arc routing problem under fuzzy and stochastic travel and service times
Abstract Stochastic, as well as fuzzy uncertainty, can be found in most real‐world systems. Considering both types of uncertainties simultaneously makes optimization problems incredibly challenging. In this paper we propose a fuzzy simheuristic to solve the Time Capacitated Arc Routing Problem (TCARP) when the nature of the travel time can either be ...
Xabier A. Martin +4 more
wiley +1 more source
On the role of metaheuristic optimization in bioinformatics
Abstract Metaheuristic algorithms are employed to solve complex and large‐scale optimization problems in many different fields, from transportation and smart cities to finance. This paper discusses how metaheuristic algorithms are being applied to solve different optimization problems in the area of bioinformatics. While the text provides references to
Laura Calvet +3 more
wiley +1 more source
The location routing problem with facility sizing decisions
Abstract The location routing problem (LRP) integrates operational decisions on vehicle routing operations with strategic decisions on the location of the facilities or depots from which the distribution will take place. In other words, it combines the well‐known vehicle routing problem (VRP) with the facility location problem (FLP).
Rafael D. Tordecilla +4 more
wiley +1 more source
Disruption Management Approaches for Berth Scheduling in Bulk Terminals
Maritime terminals are complex transportation systems sensitive to several sources of uncertainty. An alteration in the baseline planning, as a consequence of one or more disruptive events, can lead terminals to a lower quality of the service provided.
Alan Dávila de León +3 more
wiley +1 more source
Applications of biased-randomized algorithms and simheuristics in integrated logistics [PDF]
Transportation and logistics (T&L) activities play a vital role in the development of many businesses from different industries. With the increasing number of people living in urban areas, the expansion of on-demand economy and e-commerce activities, the number of services from transportation and delivery has considerably increased.
Do Carmo Martins, Leandro
openaire +3 more sources
Vehicular ad hoc networks (VANETs) are a fundamental component of intelligent transportation systems in smart cities. With the support of open and real-time data, these networks of inter-connected vehicles constitute an ‘Internet of vehicles’ with the ...
Mohammad Peyman +5 more
doaj +1 more source
Advances in information and communication technologies have made possible the emergence of new shopping channels. The so-called ‘omnichannel’ retailing mode allows customers to shop for products online and receive them at home.
Leandro do C. Martins +4 more
doaj +1 more source
Constructing portfolio by proper asset selection to maximize return and minimize risk has been considered an essential task for investment activities. Rich portfolio optimizations with realistic constraints are NP-hard problems and are commonly solved using metaheuristics.
Li, Yuda +4 more
openaire +1 more source
A SIMHEURISTIC ALGORITHM FOR SOLVING AN INTEGRATED RESOURCE ALLOCATION AND SCHEDULING PROBLEM [PDF]
Modern companies have to face challenging configuration issues in their manufacturing chains. One of these challenges is related to the integrated allocation and scheduling of resources such as machines, workers, energy, etc. These integrated optimization problems are difficult to solve, but they can be even more challenging when real-life uncertainty ...
Ludovica Maccarrone +4 more
openaire +5 more sources

