Results 11 to 20 of about 56 (54)
Abstract Background Treatment planning in radiotherapy is inherently a multi‐criteria optimization (MCO) problem, as it requires balancing competing clinical goals. Traditionally, the treatment's robustness is not formulated as a part of this decision making problem, but dealt with separately through margins or robust optimization.
Remo Cristoforetti +3 more
wiley +1 more source
Solving for Blameless and Optimal Control Under Prioritized Safety Constraints
Summary of the proposed method for solving for blameless and optimal control sequences. ABSTRACT In many safety‐critical optimal control problems, users may request multiple safety constraints that are jointly infeasible due to external factors such as subsystem failures, unexpected disturbances, or fuel limitations.
Natalia Pavlasek +3 more
wiley +1 more source
On Parallel and Serial (Dis‐)Aggregation in System Dynamics Models
ABSTRACT Compartment models are widely used in system dynamics to analyze complex systems. However, determining an appropriate level of aggregation remains a methodological challenge. This paper explores how parallel and serial (dis‐)aggregation affect a model's ability to reproduce dynamics of interest, using the beer distribution game (BDG) as a case
Christian Marchetti, Andreas Größler
wiley +1 more source
Large Language Models as Calibration Agents in Hydrological Modeling: Feasibility and Limitations
Abstract Large language models (LLMs) represent the forefront of artificial intelligence, exhibiting substantial potential for advancing understanding and reasoning in complex Earth system sciences. Hydrological modeling, essential for water resource management and Earth system knowledge, predominantly relies on traditional calibration paradigms and ...
Zhanliang Zhu +7 more
wiley +1 more source
This paper presents a multi‐level, multi‐objective energy management framework for low‐carbon distribution systems with smart building prosumers and electric vehicles. The proposed risk‐averse optimisation approach improves cost efficiency, reduces emissions, and enhances system stability under renewable generation uncertainties.
Armin Mohajeri Avval +1 more
wiley +1 more source
This paper proposes a polynomial approximation‐based method for determination of transient voltage stability region boundary (TVSRB) in parameter space, enabling efficient stability assessment under varying operating conditions. The method is validated in the IEEE 9‐bus system and an actual system.
Zherun Dong +5 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
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
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
Minimum‐Peak‐Cost Flows Over Time
ABSTRACT Peak cost is a novel objective for flows over time that describes the amount of workforce necessary to run a system. We focus on minimizing peak costs in the context of maximum temporally repeated flows and formulate the corresponding MPC‐MTRF problem.
Mariia Anapolska +7 more
wiley +1 more source

