Search
Now showing items 1-10 of 42
Modelling and solving an m-location, n-courier, priority-based planning problem on a network
(Springer Nature, 2012-01)
In this paper, we study an m-location, n-courier, priority-based planning problem on a network, which we refer to as the Courier Planning Problem (CPP). The CPP arises on a daily basis in the context of planning the ...
Effect of structural adhesives in noise, vibration and harshness (NVH) characteristics of vehicle body design
(International Institute of Acoustics and Vibration, IIAV, 2018)
Application of structural adhesives has received an increased interest in automotive industry due to their attractive characteristics as an alternative to other lightweight strategies. There are various modeling methods ...
Load dependent lead time modelling: a robust optimization approach
(IEEE, 2018-01-04)
Although production planning models using nonlinear CFs have shown promising results for semiconductor wafer fabrication facilities, the lack of an effective methodology for estimating the CFs is a significant obstacle to ...
E-Cube: multi-dimensional event sequence analysis using hierarchical pattern query sharing
(ACM, 2011-06-12)
Many modern applications, including online financial feeds, tag-based mass transit systems and RFID-based supply chain management systems transmit real-time data streams. There is a need for event stream processing technology ...
Design sensitivity and optimization of powertrain mount system design parameters for rigid body modes and kinetic energy distributions
(Springer Nature, 2020-08-24)
This study evaluates the influences of the powertrain mount design parameters on the frequencies of powertrain rigid body modes and their kinetic energy distributions (KEDs), which play an important role in the low-frequency ...
Deep Q-learning based optimization of VLC systems with dynamic time-division multiplexing
(IEEE, 2020)
The traditional method to solve nondeterministic-polynomial-time (NP)-hard optimization problems is to apply meta-heuristic algorithms. In contrast, Deep Q Learning (DQL) uses memory of experience and deep neural network ...
A Cahn-Hilliard modeling of metal oxide thin films for advanced CMP applications
(ECS, 2014)
Chemical mechanical planarization (CMP) process enables topographic selectivity through formation of a protective oxide thin film on the recessed locations of the deposited metal layer, while a continuous chemical oxidation ...
Migrating birds optimization: a new metaheuristic approach and its performance on quadratic assignment problem
(Elsevier, 2012-12-25)
We propose a new nature inspired metaheuristic approach based on the V flight formation of the migrating birds which is proven to be an effective formation in energy saving. Its performance is tested on quadratic assignment ...
A modeling study on the layout impact of with-in-die thickness range for STI CMP
(ECS, 2013)
Chemical Mechanical Planarization process has a proven track record as an effective method for planarizing the wafer surface at multiple points of the semiconductor manufacturing flow. One of the most challenging aspects ...
Constrained min-cut replication for k-way hypergraph partitioning
(Informs, 2014)
Replication is a widely-used technique in information retrieval and database systems for providing fault tolerance and reducing parallelization and processing costs. Combinatorial models based on hypergraph partitioning ...
Share this page