Results 91 to 100 of about 321 (213)
A steady state micro genetic algorithm for hyper-heuristic generation in one-dimensional bin packing
The one-dimensional bin packing problem (1DBPP) is a well-known NP-hard problem in computer science and operations research that involves many real-world applications.
Julio Juárez +2 more
doaj +1 more source
Dislocation cutting of γ′ precipitates in Ni‐based superalloys is investigated by linking atomistic simulations with discrete dislocation dynamics. The critical cutting stress is shown to be governed by the antiphase boundary energy, while line tension effects promote edge‐preferred cutting.
Frédéric Houllé +9 more
wiley +1 more source
Solution of Bin Packing Instances in Falkenauer T Class: Not So Hard
In this work, the Bin Packing combinatorial optimization problem is studied from the practical side. The focus is on the Falkenauer T benchmark class, which is a collection of 80 problem instances that are considered hard to handle algorithmically ...
György Dósa +4 more
doaj +1 more source
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati +11 more
wiley +1 more source
Online Three-Dimensional Bin Packing: A DRL Algorithm with the Buffer Zone
The online 3D bin packing problem(3D-BPP) is widely used in the logistics industry and is of great practical significance for promoting the intelligent transformation of the industry.
Zhang Jiawei, Shuai Tianping
doaj +1 more source
On a generalized problem of bin packing
A generalization of the bin packing problem, called the DTMR problem is studied. The NP-completeness of DTMR is proved. Three heuristic algorithms-the CNN, the CHT and the CSX are described and the worst-case analysis of them are given. Some applications of the DTMR are shown.
openaire +2 more sources
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source
Solvate ionic liquids lubrication reduced the coefficient of friction by ∼60% compared to dry sliding, reaching steady‐state values as low as 0.04–0.05. Corrosion weight‐loss measurements in 1 M HCl further demonstrated significant inhibition behavior, with only 100 ppm of [Li(G3)][TFSI] (∼68.5 μL/L) reducing corrosion‐product weight loss by 63 ...
Sameh Dabees +6 more
wiley +1 more source
Receptor‐Free Identification of Toxic Gases Enabled by Hygroscopic Aqueous Salt Films
Water as a gas sensor coating sounds impossible—until it stops evaporating. Here, hygroscopic salt solutions (LiCl, LiBr, H3PO4) form non‐drying aqueous films on CNT chemiresistors under ambient air. Gases partition into these liquid layers, sometimes transforming into water, and generate salt‐specific resistance fingerprints across a four‐channel ...
Seongwoo Lee +5 more
wiley +1 more source

