Results 71 to 80 of about 95,488 (287)
Optimizing combination of job shop scheduling and quadratic assignment problem through multi-objective decision making approach [PDF]
In this paper, we consider job shop scheduling and machine location problem, simultaneously. Processing, transportation, and setup times are defined as deterministic parameters.
Mostafa Kazemi +2 more
doaj
On the quadratic assignment problem
AbstractWe discuss the relationship between Gilmore–Lawler lower bounds with decomposition for the quadratic assignment problem and a lagrangean relaxation of a particular integer programming ...
Frieze, A.M., Yadegar, J.
openaire +2 more sources
A bilinear programming solution to the quadratic assignment problem [PDF]
The quadratic assignment problem (QAP) or maximum acyclical graph problem is well documented (see e.g. Pardalos and Wolkowicz, 1994). One of the authors has published some material, in which it was tried, by structuring the problem additionally, to bring
Kaashoek, J.F. (Johan) +1 more
core
A Fully Soft Sensing Suit With Optimal Sensor Placement for Real‐Time Motion Tracking
A fully soft, skin‐conformable sensing suit integrating stretchable sensors, liquid metal wiring, and soft electrodes was developed using direct ink writing, with sensor placement optimized through an automated algorithmic pipeline. This system enables accurate and unobtrusive real‐time motion tracking, providing a scalable, material‐based solution to ...
Jinhyeok Oh, Joonbum Bae
wiley +1 more source
Energy Efficiency Maximization for Multi-Cell Multi-Carrier NOMA Networks
As energy efficiency (EE) is a key performance indicator for the future wireless network, it has become a significant research field in communication networks. In this paper, we consider multi-cell multi-carrier non-orthogonal multiple access (MCMC-NOMA)
Abuzar B. M. Adam +2 more
doaj +1 more source
Multiresolution hierarchy co-clustering for semantic segmentation in sequences with small variations
This paper presents a co-clustering technique that, given a collection of images and their hierarchies, clusters nodes from these hierarchies to obtain a coherent multiresolution representation of the image collection. We formalize the co-clustering as a
Alfaro, Mónica +2 more
core +1 more source
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
An Improved Hybrid Genetic-Hierarchical Algorithm for the Quadratic Assignment Problem
In this paper, an improved hybrid genetic-hierarchical algorithm for the solution of the quadratic assignment problem (QAP) is presented. The algorithm is based on the genetic search combined with the hierarchical (hierarchicity-based multi-level ...
Alfonsas Misevičius +4 more
doaj +1 more source
Projected Power Iteration for Network Alignment
The network alignment problem asks for the best correspondence between two given graphs, so that the largest possible number of edges are matched. This problem appears in many scientific problems (like the study of protein-protein interactions) and it is
Abbe +23 more
core +1 more source
Interactive Tool for Customizing Hydrogel Properties in Practical Applications
This research provides an open‐access tool that enables the scientific community to optimally synthesize hydrogels without requiring expert knowledge, thereby reducing experimental costs. Soft materials represent an interdisciplinary frontier in modern science, combining theoretical and experimental knowledge from diverse fields in both fundamental ...
Ricardo Negrete‐Gallego +5 more
wiley +1 more source

