Results 21 to 30 of about 113 (88)
Applied Sciences, 2022 Many real-life applications of the vehicle routing problem (VRP) occur in scenarios subject to uncertainty or dynamic conditions. Thus, for instance, traveling times or customers’ demands might be better modeled as random variables than as deterministic ...
Majsa Ammouriova +4 more
doaj +1 more source
Disruption Management Approaches for Berth Scheduling in Bulk Terminals
Journal of Advanced Transportation, Volume 2022, Issue 1, 2022., 2022 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
Algorithms, 2020 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
Proceedings of SW21 The OR Society Simulation Workshop, 2023 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]
2018 Winter Simulation Conference (WSC), 2018 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
Evolutionary algorithms for a simheuristic optimization of the product-service system design
Journal of Intelligent Manufacturing, 2023 AbstractOffering Product-Service Systems (PSS) becomes an established strategy for companies to increase the provided customer value and ensure their competitiveness. Designing PSS business models, however, remains a major challenge. One reason for this is the fact that PSS business models are characterized by a long-term nature.
Henri Meeß +3 more
openaire +3 more sources
A New Simheuristic Approach for Stochastic Runway Scheduling [PDF]
Transportation ScienceWe consider a stochastic, dynamic runway scheduling problem involving aircraft landings on a single runway. Sequencing decisions are made with knowledge of the estimated arrival times (ETAs) of all aircraft due to arrive at the airport, and these ETAs vary according to continuous-time stochastic processes.
Rob Shone +2 more
openaire +2 more sources
A simheuristic algorithm for the capacitated location routing problem with stochastic demands [PDF]
Journal of Simulation, 2019 [EN] The capacitated location routing problem (CLRP) integrates a facility location problem with a multi-depot vehicle routing problem. We consider the CLRP with stochastic demands, whose specific values are only revealed upon reaching each customer.
Carlos L. Quintero-Araujo +2 more
openaire +3 more sources
A simheuristic algorithm for the portfolio optimization problem with random returns and noisy covariances [PDF]
Computers & Operations Research, 2022 [EN] The goal of the portfolio optimization problem is to minimize risk for an expected portfolio return by allocating weights to included assets. As the pool of investable assets grows, and additional constraints are imposed, the problem becomes NP-hard. Thus, metaheuristics are commonly employed for solving large instances of rich versions.
Renatas Kizys +5 more
openaire +4 more sources
Current Trends in Simheuristics: from smart transportation to agent-based simheuristics
, 2018 Simheuristics extend metaheuristics by adding a simulation layer that allows the optimization component to deal efficiently with scenarios under uncertainty. This presentation reviews both initial as well as recent applications of simheuristics, mainly in the area of logistics and transportation.
Estrada-Moreno, Alejandro +4 more
openaire +2 more sources