Results 1 to 10 of about 12,515 (232)
A Multi-Start Biased-Randomized Algorithm for the Capacitated Dispersion Problem
Mathematics, 2022 The capacitated dispersion problem is a variant of the maximum diversity problem in which a set of elements in a network must be determined. These elements might represent, for instance, facilities in a logistics network or transmission devices in a ...
Juan F. Gomez +4 more
doaj +4 more sources
On the Use of Biased-Randomized Algorithms for Solving Non-Smooth Optimization Problems [PDF]
Algorithms, 2019 Soft constraints are quite common in real-life applications. For example, in freight transportation, the fleet size can be enlarged by outsourcing part of the distribution service and some deliveries to customers can be postponed as well; in inventory ...
Angel Alejandro Juan +4 more
doaj +6 more sources
The Stochastic Team Orienteering Problem with Position-Dependent Rewards
Mathematics, 2022 In this paper, we analyze both the deterministic and stochastic versions of a team orienteering problem (TOP) in which rewards from customers are dynamic. The typical goal of the TOP is to select a set of customers to visit in order to maximize the total
Javier Panadero +3 more
doaj +1 more source
IEEE Access, 2021 Personal information and other types of private data are valuable for both data owners and institutions interested in providing targeted and customized services that require analyzing such data.
Mohammad Mahdi Khalili +2 more
doaj +1 more source
Algorithms, 2020 From brick-and-mortar stores to omnichannel retail, the efficient selection of products to be displayed on store tables, advertising brochures, or online front pages has become a critical issue.
Mage Marmol +4 more
doaj +1 more source
The Non-Smooth and Bi-Objective Team Orienteering Problem with Soft Constraints
Mathematics, 2020 In the classical team orienteering problem (TOP), a fixed fleet of vehicles is employed, each of them with a limited driving range. The manager has to decide about the subset of customers to visit, as well as the visiting order (routes).
Alejandro Estrada-Moreno +4 more
doaj +1 more source
Remote Sensing, 2021 Satellite precipitation estimates (SPEs) are promising alternatives to gauge observations for hydrological applications (e.g., streamflow simulation), especially in remote areas with sparse observation networks.
Yuhang Zhang +5 more
doaj +1 more source
A Biased-Randomized Iterated Local Search Algorithm for Rich Portfolio Optimization [PDF]
Applied Sciences, 2019 This research develops an original algorithm for rich portfolio optimization (ARPO), considering more realistic constraints than those usually analyzed in the literature. Using a matheuristic framework that combines an iterated local search metaheuristic with quadratic programming, ARPO efficiently deals with complex variants of the mean-variance ...
Renatas Kizys +3 more
openaire +7 more sources
GIScience & Remote Sensing, 2022 Accurately quantifying the aboveground biomass (AGB) of forests is crucial for understanding global change-related issues such as the carbon cycle and climate change.
Yuzhen Zhang +4 more
doaj +1 more source
International Journal of Communication, 2023 Growing concerns indicate that automated decision-making (ADM) may discriminate against certain social groups, but little is known about how social identities of people influence their perception of biased automated decisions. Focusing on the context of
Soojong Kim, Joomi Lee, Poong Oh
doaj +2 more sources