Results 41 to 50 of about 777,757 (186)

BDD-Based Error Metric Analysis, Computation and Optimization

IEEE Access, 2022
Approximate Computing is a design paradigm that trades off computational accuracy for gains in non-functional aspects such as reduced area, increased computation speed, or power reduction.
Oliver Keszocze
doaj   +1 more source

Secure and Energy-Efficient Integrating Sensing, Computing, and Communication System via Reconfigurable Intelligent Surface

IEEE Access
Aiming at the security and energy efficiency challenges faced by reconfigurable intelligent surface (RIS) assisted integrating sensing, computing, and communication (ISCC) system, this paper investigates the system performance of communication offloading
Dawei Wang, Chao Wang, Hongwei Sun, Xijuan Yu   +3 more
doaj   +1 more source

Systematic Initialization Approaches for Portfolio Optimization Problems

IEEE Access, 2019
Selecting the number of assents to obtain the maximized expected return under the possible lowest risk is the main concern of portfolio optimization problems. Optimization algorithms -multi/many-objective- are evaluated to find the desired/possible level
Mehmet Altinoz, O. Tolga Altinoz
doaj   +1 more source

Ramsey numbers and adiabatic quantum computing

, 2012
The graph-theoretic Ramsey numbers are notoriously difficult to calculate. In fact, for the two-color Ramsey numbers $R(m,n)$ with $m,n\geq 3$, only nine are currently known. We present a quantum algorithm for the computation of the Ramsey numbers $R(m,n)
A. Y. Kitaev, B. Bollobás, Frank Gaitan, H. Furstenberg, J. Nes̆etr̆il, J. Paris, J. Spencer, Lane Clark, R. Oliveira, R. L. Graham   +9 more
core   +1 more source

A Two-Stage Multi-Objective Cooperative Optimization Strategy for Computation Offloading in Space–Air–Ground Integrated Networks

Future Internet
With the advancement of 6G networks, terrestrial centralized network architectures are evolving toward integrated space–air–ground network frameworks, imposing higher requirements on the efficiency of computation offloading and multi-objective ...
He Ren, Yinghua Tong
doaj   +1 more source

Performance comparison between Java and JNI for optimal implementation of computational micro-kernels [PDF]

, 2014
General purpose CPUs used in high performance computing (HPC) support a vector instruction set and an out-of-order engine dedicated to increase the instruction level parallelism.
Charles, Henri-Pierre, Halli, Nassim A., Mehaut, Jean-François   +2 more
core   +3 more sources

Exploring tradeoffs in pleiotropy and redundancy using evolutionary computing

, 2004
Evolutionary computation algorithms are increasingly being used to solve optimization problems as they have many advantages over traditional optimization algorithms.
Abbott, Derek, Allison, Andrew, Berryman, Matthew J., Khoo, Wei-Li, Nguyen, Hiep, O'Neill, Erin   +5 more
core   +1 more source

Leitmann's direct method for fractional optimization problems

, 2010
Based on a method introduced by Leitmann [Internat. J. Non-Linear Mech. {\bf 2} (1967), 55--59], we exhibit exact solutions for some fractional optimization problems of the calculus of variations and optimal control.Comment: Submitted June 16, 2009 and ...
Agrawal, Agrawal, Almeida, Almeida, Baleanu, Baleanu, Carlson, Cresson, Debnath, Diethelm, El-Nabulsi, El-Nabulsi, Ferreira, Frederico, Frederico, Frederico, Kilbas, Leitmann, Leitmann, Leitmann, Malinowska, Martins, Miller, Podlubny, Ross, Silva, Torres   +26 more
core   +1 more source

Benchmarking five global optimization approaches for nano-optical shape optimization and parameter reconstruction

, 2019
Numerical optimization is an important tool in the field of computational physics in general and in nano-optics in specific. It has attracted attention with the increase in complexity of structures that can be realized with nowadays nano-fabrication ...
Burger, Sven, Hammerschmidt, Martin, Rockstuhl, Carsten, Santiago, Xavier Garcia, Schneider, Philipp-Immanuel, Soltwisch, Victor   +5 more
core   +1 more source

Joint Stochastic Computation Offloading and Trajectory Optimization for Unmanned-Aerial-Vehicle-Assisted Mobile Edge Computing

IEEE Access
In Mobile Edge Computing (MEC), Unmanned Aerial Vehicles (UAVs) equipped with communication and computation capabilities can be used as an edge node, which can not only satisfy the user’s demand for high computation power and low latency, but also
Yi Zhou
doaj   +1 more source