Results 21 to 30 of about 61 (59)
This paper proposes a prediction‐and‐repair framework for accelerating unit commitment in repeated scheduling studies. The framework combines behaviour‐cloning prediction, root‐relaxation‐guided repair‐space restriction, reinforcement‐learning‐based repair and LP‐based dispatch feedback.
Yubin He +6 more
wiley +1 more source
This study proposes a tolerance lexicographic optimization framework for Connected and Automated Heavy Vehicles (CAHV) to achieve safe, efficient, and eco‐friendly trajectory planning on freeways. The method dynamically balances multiple objectives and accounts for surrounding Manual Vehicle (MV) behaviors.
Xiangwang Hu +5 more
wiley +1 more source
Decoding Maritime Encounters: Game‐Theoretic Feature Selection for Vessel Intent Prediction
This study presents an interpretable framework for early maritime vessel intent prediction, combining cooperative game‐theoretic feature selection with deep temporal models. The approach leverages Shapley value and Nucleolus attribution to identify critical motion and interaction features, achieving consistent performance improvements across multiple ...
Ayesh Meepaganithage +3 more
wiley +1 more source
Benchmark Algorithms for Threat Priority Estimation in Counter‐UAV Simulation Issues
The paper addresses important issues related to modelling the effectiveness of countering UAV threats. It presents a simulation‐based framework for evaluating air defence systems, including benchmark algorithms and representative scenarios. The approach incorporates stochastic elements to better reflect real‐world uncertainties and support systematic ...
Ksawery Krenc, Witold Bużantowicz
wiley +1 more source
Supply‐Chain‐Ready 915 MHz Radio‐Frequency Identification Meander Dipole
This paper presents a physics‐aware, ML‐assisted optimization framework for benchmarking printable UHF RFID meandered dipoles within the heavily regulated 902–928 MHz corridor. Evaluated against standard solver baselines under a strict computational budget, the proposed methodology explicitly enforces a zero‐leakage spectral mask to prevent regulatory ...
Aslıhan Turgut, Ahmet Turgut
wiley +1 more source
Rapid passenger‐demand growth, budget constraints, and large‐scale events create substantial challenges for long‐term airport capacity planning. This study develops a scenario‐based multiperiod multiobjective mixed‐integer linear programming framework for strategic airport capacity planning under alternative policy‐driven demand conditions.
Ibrahim M. Hezam, Qingling Wang
wiley +1 more source
An essential component of modern microgrid operation is the energy management system. This work proposes a stochastic programming–based proximal policy optimisation (PPO) technique for a typical wind–solar–diesel–storage microgrid, accounting for the significant uncertainty associated with wind energy.
Pallavi Jha +8 more
wiley +1 more source
This research addresses a multiobjective mixed‐fleet location routing problem with time windows. It combines routing, energy management, and charging infrastructure within a single mathematical framework. The problem is formulated as a mixed‐integer linear programming (MILP) model.
Bernard Atta Adjei +4 more
wiley +1 more source
Persistent Conformal Geometry and Loewner Evolution
We introduce persistent conformal geometry, a framework connecting geometric function theory with topological data analysis. The method assigns to each normalized univalent mapping a scale‐dependent distortion field and studies the persistent homology of its sublevel‐set filtration. The resulting persistence diagrams record the appearance, interaction,
Isra Al-Shbeil +5 more
wiley +1 more source
From "More Is Different" to Algorithmic Emergence: Regularity, Compression, and the Limits of Discovery. [PDF]
Ruffini G, Castaldo F.
europepmc +1 more source

