Results 101 to 110 of about 37,139 (224)
Straddle carrier routing optimization at container terminals utilizing telemetry‐based prediction
Abstract Efficient vehicle routing and scheduling for horizontal transport means on container terminals can reduce lead times and travel distances, resulting in fuel savings and productivity gains. We apply machine learning to emulate operational processes, bridging the gap between theoretical optimization models and real‐world practices at container ...
Julian Neugebauer +3 more
wiley +1 more source
Abstract A new species of Hyphessobrycon is described from a tributary of Rio Jatuarana, lower Rio Aripuanã basin, Rio Madeira basin, Apuí, Amazonas. The new species is part of the Hyphessobrycon agulha lineage, with the typical midlateral narrow black stripe immediately followed dorsally by an iridescent stripe.
Tiago C. Faria +3 more
wiley +1 more source
An Efficient Building Evacuation Algorithm in Congested Networks
This paper proposes a new network model for the building evacuation problem considering congestion levels and provides a mixed integer linear programming (MILP) model and an efficient heuristic algorithm solving the problem.
Chang Hyup Oh +3 more
doaj +1 more source
Abstract We propose the novel p‐branch‐and‐bound method for solving two‐stage stochastic programming problems whose deterministic equivalents are represented by non‐convex mixed‐integer quadratically constrained quadratic programming (MIQCQP) models. The precision of the solution generated by the p‐branch‐and‐bound method can be arbitrarily adjusted by
Nikita Belyak, Fabricio Oliveira
wiley +1 more source
Contexto: Las organizaciones en la actualidad deben seleccionar proveedores de forma eficaz para dar una respuesta oportuna a las necesidades de sus clientes y de esta manera garantizar su competitividad.
Luis Alfonso Peña Florez +1 more
doaj +1 more source
Discounted Pseudocosts in MILP
In this article, we introduce the concept of discounted pseudocosts, inspired by discounted total reward in reinforcement learning, and explore their application in mixed-integer linear programming (MILP). Traditional pseudocosts estimate changes in the objective function due to variable bound changes during the branch-and-bound process. By integrating
openaire +2 more sources
Production routing decisions in a two‐echelon supply chain with multiple delivery modes
Abstract We study an original two‐echelon production routing problem with multiple delivery modes (2E‐PRP‐MDM). In the first echelon, the primary production facility is tasked with satisfying the demands of two distinct entities: a set of warehouses and a set of customers through direct shipments. In the second echelon, warehouses become delivery hubs,
Rachida Benfedel +2 more
wiley +1 more source
Graph‐based imitation and reinforcement learning for efficient Benders decomposition
Abstract This work introduces an end‐to‐end graph‐based agent for accelerating the computational efficiency of Benders Decomposition. The agent's policy is parameterized by a graph neural network, which takes as input a bipartite graph representation of the master problem and proposes a candidate solution.
Bernard T. Agyeman +3 more
wiley +1 more source
Predictive Building Energy Management by Means of Mixed‐Integer Optimal Control With Automated Setup
ABSTRACT Today, a significant portion of total final energy consumption can be attributed to heating systems in buildings. Reducing energy consumption and carbon dioxide emissions in this sector is, therefore, crucial to achieving the goals of climate action initiatives worldwide.
Artyom Burda +4 more
wiley +1 more source
This paper develops a two-stage stochastic and dynamically updated multi-period mixed integer linear program (SD-MILP) for optimal coordinated bidding of an electric vehicle (EV) aggregator to maximize its profit from participating in competitive day ...
Yelena Vardanyan, Henrik Madsen
doaj +1 more source

