Results 131 to 140 of about 290 (164)

Multicriterial Optimization Approach to Eliminating Multiplications

2006 IEEE Workshop on Multimedia Signal Processing, 2006
Widely used image compression algorithms, such as Discrete Cosine Transform (DCT), can be described as applying a linear operator to a vector of samples. This is computationally quite complex and a number of algorithms have been developed to minimize the number of necessary operations, particularly multiplies.
Nenad Rijavec, Arianne Hinds
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Man Machine Methods for Multicriterial Optimization

IFAC Proceedings Volumes, 1988
Abstract The paper presents several methods for formalizing one of the most important kinds of human intelectual activity - decision making in the presence of several quality criteria. Various approaches to the solution of the multicriterial optimization problem are considered.
Ya.Z. Zypkin, A.S. Krasnenker
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Safety as Objective in Multicriterial Structural Optimization

29th International Conference on Ocean, Offshore and Arctic Engineering: Volume 2, 2010
Multicriterial design methodology with safety as one of the design objectives is presented. The aim of the paper is to analyze the influence of safety based design objectives on generated nondominated designs on the Pareto frontier. Possible improvements in nondominated designs are investigated by comparison to ones obtained with the standard design ...
Kitarović, Stanislav   +2 more
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Multicriterial Optimization of the Composition of a Lubricant

Journal of Machinery Manufacture and Reliability, 2020
In this paper, a study has been performed to reveal the effect of the composition of a three-component lubricant on the consumption thereof, on the wear rate of the wheels of the rolling stock, and on the friction coefficient of the wheel-rail tribocontact by means of a simplex-lattice design that provides a minimum wear rate of wheel flanges. The most
V. A. Kokhanovskii, D. V. Glazunov
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Potential optimality in multicriterial optimization

Computational Mathematics and Mathematical Physics, 2014
Summary: The relation between Pareto, Slater, Geoffrion, and potential optimality is investigated for basic classes of value functions in multicriterial optimization problems.
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