Results 131 to 140 of about 3,173,574 (293)

Integrated‐Hybrid Framework for Connected Vehicles Micro‐ and Macroscopic Highway Merging Control Using Combined Data‐and‐Model‐Driven Approaches

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper introduces a hybrid control framework for highway merging that integrates reinforcement learning (RL) with model predictive control (MPC) to manage both macroscopic traffic flow and microscopic vehicle interactions. Tested in METANET and SUMO, the approach improves congestion mitigation, safety and merge efficiency while ensuring ...
Masoud Pourghavam, Moosa Ayati
wiley   +1 more source

Radial symmetry, monotonicity and Liouville theorem for Marchaud fractional parabolic equations with the nonlocal Bellman operator

Advanced Nonlinear Studies
In this article, we focus on studying space-time fractional parabolic equations with the nonlocal Bellman operator and the Marchaud fractional derivative. To address the difficulty caused by the space-time non-locality of operator ∂tα−Fs ${\partial }_{t}^
Liu Mengru, Zhang Lihong, Wang Guotao
doaj   +1 more source

Optimal control for stochastic partial differential equations and viscosity solutions of Bellman equations [PDF]

, 1991
Makiko Nisio
openalex   +1 more source

Randomized filtering and Bellman equation in Wasserstein space for partial observation control problem [PDF]

Stochastic Processes and their Applications, 2016
Elena Bandini, Andrea Cosso, M. Fuhrman, H. Pham   +3 more
semanticscholar   +1 more source

Joint Optimisation of the Gate and Taxi Route During Peak Hours: A Fusion Algorithm of Adaptive Genetic and Artificial Bee Colony

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper develops a novel joint optimisation model using column generation (CG) for airport parking gate and taxi route assignment, especially during peak hours. It proposes a parallel fusion algorithm combining artificial bee colony and adaptive genetic algorithm to solve the model efficiently.
Fujun Wang, Dongqing Liu, Xiangyi Li, Wei Zhang, Hongfei Liu, Jun Bi   +5 more
wiley   +1 more source

Enhancing Cybersecurity in Hydrogen Energy Systems: Integrating Graph Neural Networks and Stochastic Dual Dynamic Programming

IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
This study presents a comprehensive analysis of system resilience and recovery in the face of cyber attacks on a hydrogen energy infrastructure, utilizing advanced modelling techniques and state‐of‐the‐art cybersecurity strategies. We developed a robust optimization framework integrated with graph neural networks (GNNs) to detect and mitigate ...
Dong Hua, Peifeng Yan, Suisheng Liu, Peiyi Cui   +3 more
wiley   +1 more source

A Multi‐Stage Bidding Strategy for Integrated Energy Refueling Stations in Electricity and Ancillary Markets Under Time‐Unfolding Uncertainties of Demand and Prices

IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
This study proposes a multi‐stage stochastic bidding framework for integrated energy refueling stations (IERS) that co‐optimize electricity trading, ancillary‐service provision, battery dispatch, and on‐site hydrogen production/refueling under time‐evolving uncertainties in PV output, market prices, and EV/FCEV demand.
Ximu Liu, Yujian Ye, Hongru Wang, Cun Zhang, Hengyu Liu, Zhi Zhang, Xi Zhang, Dezhi Xu, Goran Strbac   +8 more
wiley   +1 more source

Approximating the Stationary Bellman Equation by Hierarchical Tensor Products [PDF]

, 2023
Mathias Oster, Leon Sallandt, Reinhold Schneider   +2 more
openalex   +1 more source

Persistently optimal policies in stochastic dynamic programming with generalized discounting [PDF]

In this paper we study a Markov decision process with a non-linear discount function. Our approach is in spirit of the von Neumann-Morgenstern concept and is based on the notion of expectation.
Jaśkiewicz, Anna, Matkowski, Janusz, Nowak, Andrzej S.   +2 more
core   +1 more source

Long‐term consumer selection strategies for a heterogeneous consumer base when demand depends on purchase and advertising histories

International Transactions in Operational Research, Volume 33, Issue 1, Page 457-488, January 2026.
Abstract For many retailers with an existing consumer base, direct marketing, particularly, one‐to‐one marketing actions, is crucial. However, to decide which consumer should receive which kind of advertising at which point in time is challenging, particularly if the individual consumer's demand is history dependent, that is, influenced by his/her ...
Oliver Nordemann, Rainer Schlosser
wiley   +1 more source