Results 51 to 60 of about 1,992 (151)
Production routing decisions in a two‐echelon supply chain with multiple delivery modes
International Transactions in Operational Research, Volume 33, Issue 5, Page 3385-3421, September 2026.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
Optimal Control of Mobile Energy Storage via Knowledge‐Guided Deep Reinforcement Learning
Battery Energy, Volume 5, Issue 4, July 2026.This research proposes a Knowledge‐Guided DRL framework (KA‐DDPG) for mobile energy storage. By integrating offline optimization as expert guidance to manage hybrid action spaces and environmental uncertainties, our method achieves significantly higher arbitrage profits and superior operational stability compared to standard reinforcement learning and ...
Xinlei Cai +7 more
wiley +1 more source
An MILP Model for Distributed Energy System Optimization
Chemical Engineering Transactions, 2013 Investigations regarding means to achieve savings in primary energy use and to decrease anthropogenic CO2 emissions have shown that improved energy efficiency has potential to offer a significant contribution to this cause. Considering energy networks and systems, improvements can be achieved by optimizing the structure of the energy chains and ...
Haikarainen Carl +2 more
openaire +2 more sources
Ordered Median Traveling Salesman Problem
Networks, Volume 88, Issue 1, Page 59-84, July 2026.ABSTRACT This paper introduces a novel combinatorial optimization problem with ordering constraints, termed the Ordered Median Traveling Salesman Problem (OMTSP). The OMTSP integrates key elements from both the classic Traveling Salesman Problem (TSP) and the Ordered Median Location Problem.
Ivana Ljubić +3 more
wiley +1 more source
Shaping Decision Models for Stochastic Dynamic Optimization Problems via Reinforcement Learning
Networks, Volume 88, Issue 1, Page 138-157, July 2026.ABSTRACT With rising customer expectations and increasing computational potential, many transport, manufacturing, and production operations face real‐time decision making in stochastic dynamic environments. Decision makers must find and adapt complex plans that are effective now but also flexible with respect to future developments.
Florentin D. Hildebrandt +3 more
wiley +1 more source
Learning optimal objective values for MILP
CoRRModern Mixed Integer Linear Programming (MILP) solvers use the Branch-and-Bound algorithm together with a plethora of auxiliary components that speed up the search. In recent years, there has been an explosive development in the use of machine learning for enhancing and supporting these algorithmic components. Within this line, we propose a methodology
Lara Scavuzzo +2 more
openaire +2 more sources
Hydrogen to Power: Exploring Current Developments and Future Challenges
Natural Sciences, Volume 6, Issue 3, July 2026.As the interest in low‐carbon energy systems grows, hydrogen continues to attract attention as a flexible energy carrier for power applications. Developments in hydrogen production, storage, transport, and utilization are explored. In addition, the deployment challenges of hydrogen energy vector related to economics, infrastructure, safety, and ...
Md. Shafiullah +6 more
wiley +1 more source
Graph‐based imitation and reinforcement learning for efficient Benders decomposition
AIChE Journal, Volume 72, Issue 6, June 2026.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
Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.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
Finding Minimum‐Cost Explanations for Predictions Made by Tree Ensembles
Software: Practice and Experience, Volume 56, Issue 6, Page 615-642, June 2026.ABSTRACT The ability to reliably explain why a machine learning model arrives at a particular prediction is crucial when used as decision support by human operators of critical systems. The provided explanations must be provably correct, and preferably without redundant information, called minimal explanations.
John Törnblom +2 more
wiley +1 more source