Results 221 to 230 of about 149,185 (266)

Optimization of hybrid systems

Computers & Chemical Engineering, 2006
An overview of dynamic optimization problems with hybrid systems embedded is presented. The control parameterization approach is examined in detail, where the possibility of mode switching within the hybrid system causes nonsmoothness in the Master problem, thus invalidating gradient based solvers.
Paul I. Barton, Cha Kun Lee, Mehmet Yunt
openaire   +1 more source

Optimizing hybrid transactional memory

Proceedings of the twenty-third annual ACM symposium on Parallelism in algorithms and architectures, 2011
Transactional memory (TM) is a speculative shared-memory synchronization mechanism used to speed up concurrent programs. Most current TM implementations are software-based (STM) and incur noticeable overheads for each transactional memory access. Hardware TM proposals (HTM) address this issue but typically suffer from other restrictions such as limits ...
Torvald Riegel, Patrick Marlier, Martin Nowack, Pascal Felber, Christof Fetzer   +4 more
openaire   +3 more sources

Optimal edge-preserving hybrid filters

IEEE Transactions on Image Processing, 1994
Based on the least mean square error criterion at the edge position, a new algorithm is presented to obtain a class of optimal edge-preserving hybrid filters that include the Lee (1980) additive filter and the gradient inverse weighted filter. As a result, we show that the gain of the Lee additive filter is not optimal and derive the optimal form of ...
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Dose Optimization of Hybrid Imaging

Health Physics, 2019
Abstract Hybrid imaging combines the functional and molecular imaging of positron emission computed tomography and single-photon emission computed tomography with the anatomical information available from computed tomography and magnetic resonance imaging.
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Hybrid Optimization Algorithms and Hybrid Response Surfaces

2014
In this paper we will present some hybrid methodologies applied tooptimization of complex systems. The paper is divided in two parts. The first part presents several automatic switching concepts among constituent optimizers in hybrid optimization, where different heuristic and deterministic techniques are combined to speed up the optimization task.
George S. Dulikravich, Marcelo J. Colaço   +1 more
openaire   +1 more source

Hybrid optimization scheme for time-optimal control

Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001
This paper applies multiple methods of solving general optimization problems to a time-optimal control problem. By applying both constrained optimization and linear programming techniques to a particular problem, the benefits and drawbacks of each method can be easily described.
N.C. Reynolds, P.H. Meckl
openaire   +1 more source

Optimized Hybrids

2014
Today, hybrids are on the road, fromaffordable micro hybrids providingmostly the stop&start feature, up tomore expensive systems with signifi -cant pure electric mode range. Oneof the challenges is to improve thecontrol algorithms to reach betterfuel economy and reduce emissions.Developing efficient energy managementalgorithms (EMAs) doesslightly ...
Delprat, Sebastien, Fontaine, Christian, Paganelli, Sebastien   +2 more
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Optimal Image Watermarking using Hybrid Optimization Algorithm

International Journal of Computer Vision and Image Processing, 2015
Image watermarking is a process of embedding secret information into cover image to secure transmission of secret data. Literature presents several image watermarking techniques are based on different transformation such as, wavelet transform, Fourier transform and cosine transform.
Satish Ramchandra Todmal, Suhas Haribhau Patil   +1 more
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Hybrid Seeker Optimization Algorithm for Global Optimization

Applied Mathematics & Information Sciences, 2013
Swarm intelligence algorithms have been succesfully applied to hard optimization problems. Seeker optimization algorithm is one of the latest members of that class of metaheuristics and it has not yet been thorougly researched. Since the early versions of this algorithm were less succesful with multimodal functions, we propose in this paper ...
Milan Tuba, Ivona Brajevic, Raka Jovanovic   +2 more
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A novel hybrid optimization algorithm: Dynamic hybrid optimization algorithm

Multimedia Tools and Applications, 2023
Mohammad Yassami, Payam Ashtari
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