Results 51 to 60 of about 715,075 (267)
Optimizing the transient control of gas networks is a highly challenging task. The corresponding model incorporates the combinatorial complexity of determining the settings for the many active elements as well as the non-linear and non-convex nature of ...
Hennings, Felix +2 more
doaj +1 more source
Bird Mating Optimizer for Combinatorial Optimization Problems
The bird mating optimizer is a new metaheuristic algorithm that was originally proposed to solve continuous optimization problems with a very promising performance.
Anas Arram +3 more
doaj +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
A Thermodynamical Selection-Based Discrete Differential Evolution for the 0-1 Knapsack Problem
Many problems in business and engineering can be modeled as 0-1 knapsack problems. However, the 0-1 knapsack problem is one of the classical NP-hard problems.
Zhaolu Guo +4 more
doaj +1 more source
A Multiscale Framework for Challenging Discrete Optimization [PDF]
Current state-of-the-art discrete optimization methods struggle behind when it comes to challenging contrast-enhancing discrete energies (i.e., favoring different labels for neighboring variables).
Bagon, Shai, Galun, Meirav
core
This article presents a solver‐agnostic domain‐specific language (DSL) for computational structural mechanics that strengthens interoperability in virtual product development. Using a hierarchical data model, the DSL enables seamless exchange between diverse simulation tools and numerical methods.
Martin Rädel +3 more
wiley +1 more source
This study focuses on validating a two-phase flow solver based on the modified Simple Coupled Level Set and Volume of Fluid method (Uchihashi et al. 2023) through viscous Kelvin-Helmholtz instability simulations.
Naoki Shimada +4 more
doaj +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Discrete optimization using Quantum Annealing on sparse Ising models
This paper discusses techniques for solving discrete optimization problems using quantumannealing. Practical issues likely to affect the computation include precision limitations, finitetemperature, bounded energy range, sparse connectivity, and small ...
Zhengbing eBian +5 more
doaj +1 more source
Discrete Convex Functions on Graphs and Their Algorithmic Applications
The present article is an exposition of a theory of discrete convex functions on certain graph structures, developed by the author in recent years.
A Bernáth +36 more
core +1 more source

