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Optimal distribution assignment placement

1997
Dynamic data redistribution is a key technique for maintaining data locality and workload balance in data parallel languages like HPF. On the other hand, redistributions can be very expensive and significantly degrade a program's performance. In this article, we present a novel and aggressive approach for avoiding unnecessary remappings by eliminating ...
Jens Knoopl, Eduard Mehofer
openaire   +1 more source

Optimal placement of multiple morphogen sources

Physical Review E, 2008
During development, cells grow, differentiate, divide, and die according to their spatial positions, yet the positional information given to cells by morphogens (diffusive chemicals) includes considerable noises from various origins. In this paper, we examine a relationship between fluctuations in morphogen concentrations that the cells receive and the
Y, Morishita, Y, Iwasa
openaire   +2 more sources

Modified cuckoo search algorithm for the optimal placement of actuators problem

Applied Soft Computing, 2018
Display Omitted We presented a novel modified cuckoo search algorithm (NMCSA) for optimal placement of actuators problems.The proposed NMCSA employs a novel adaptive strategy to balance exploration and exploitation, which lead to achieve a more rapid and
Bo Yang   +4 more
semanticscholar   +1 more source

Uncertainty Assessment of Well Placement Optimization

Proceedings of SPE Annual Technical Conference and Exhibition, 2001
SummaryDetermining the best location for new wells is a complex problem that depends on reservoir and fluid properties, well and surface-equipment specifications, and economic criteria. Numerical simulation is often the most appropriate tool to evaluate the feasibility of well configurations. However, because the data used to establish numerical models
Baris Güyagüler, Roland N. Horne
openaire   +1 more source

Optimal placement of TCSC and SVC for reactive power planning using Whale optimization algorithm

Swarm and Evolutionary Computation, 2017
In the present work, Whale optimization algorithm (WOA), Differential evolution (DE), Grey wolf optimization (GWO), Quasi-opposition based Differential Evolution (QODE) and Quasi-opposition based Grey wolf optimization (QOGWO) algorithm has been applied ...
S. Raj, B. Bhattacharyya
semanticscholar   +1 more source

Optimal tactile sensor placement

Proceedings, 1989 International Conference on Robotics and Automation, 2003
By intelligently locating a tactile sensor with respect to a sensed object it is possible to minimize the number of sensed points required to identify or localize the object. The author applies principles of statistical decision theory to determine the optimal sensing location to constrain an object model, maximally based on any prior object ...
openaire   +1 more source

Sparse Sensor Placement Optimization for Classification

SIAM Journal on Applied Mathematics, 2016
Summary: Choosing a limited set of sensor locations to characterize or classify a high-dimensional system is an important challenge in engineering design. Traditionally, optimizing the sensor locations involves a brute-force, combinatorial search, which is NP-hard and is computationally intractable for even moderately large problems.
Brunton, B. W.   +3 more
openaire   +2 more sources

Placement Optimization for DSAL

2018
In DSAL, each group of contacts (or vias) is associated with a GP. The number of member contacts and their relative position determine the shape of GP. Some GPs, for instance of those with asymmetric shape, have high DSA defect probability as addressed in Sect. 2.2, and have to be avoided.
Seongbo Shim, Youngsoo Shin
openaire   +1 more source

Optimal Sensor Placement

SIAM Review, 1993
Hong Zhang, Xiaohuan Wang
openaire   +1 more source

Optimal placement and sizing of FACTS devices for optimal power flow in a wind power integrated electrical network

Neural computing & applications (Print), 2020
P. Biswas   +4 more
semanticscholar   +1 more source

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