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Multicriterial Optimization of Rotary Milling in Producing Elementary Chip
Russian Engineering Research, 2021S. D. Smetanin, V. G. Shalamov
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Modification of the label method for problems of multicriterial optimization
Economics and the Mathematical Methods, 2020A.D. Zaslavsky
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Multicriterial Optimization Approach to Eliminating Multiplications
2006 IEEE Workshop on Multimedia Signal Processing, 2006Widely 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 T. Hinds
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Models of multicriterial optimization of structuring made of composite materials
Mechanics of Composite Materials, 1984Yu M Pochtman
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Man Machine Methods for Multicriterial Optimization
IFAC Proceedings Volumes, 1988Abstract 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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IEEE transactions on microwave theory and techniques
This article introduces an innovative method for achieving low-cost and reliable multiobjective optimization (MOO) of microwave passive circuits. The technique capitalizes on the attributes of surrogate models, specifically artificial neural networks ...
Sławomir Kozieł +1 more
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This article introduces an innovative method for achieving low-cost and reliable multiobjective optimization (MOO) of microwave passive circuits. The technique capitalizes on the attributes of surrogate models, specifically artificial neural networks ...
Sławomir Kozieł +1 more
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The computation of Pareto-optimal set in multicriterial optimization of rapid prototyping processes
Computers & Industrial Engineering, 2010The purpose of this research is the multicriterial optimization of rapid prototyping processes. The mathematical model of the optimization problem takes into consideration as optimization criteria, surface quality of the prototype and the time of manufacturing.
Mircea Ancau, Cristian Caizar
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On necessary and sufficient optimality conditions for multicriterial optimization problems
ZOR Zeitschrift f�r Operations Research Methods and Models of Operations Research, 1991The author considers a normed space \(X\), a map \(f: X\to R^ n\), the usual closed convex and pointed cone \(R^ n_ +\) and a nonempty set of feasible points \(S\subseteq X\), and studies some possibilities of characterizing the weakly or properly Pareto type minimal elements for the set \(f(S)\) using different types of derivatives for \(f\) such as ...
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SOFT MEASUREMENTS AND COMPUTING
A hybrid physics-informed computing platform for aero-hydrodynamic analysis and multi-criteria optimization of blade system profiles is presented, combining the Neural Foil neural network surrogate with panel methods and gradient-based optimization.
V. A. Peleshenko
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A hybrid physics-informed computing platform for aero-hydrodynamic analysis and multi-criteria optimization of blade system profiles is presented, combining the Neural Foil neural network surrogate with panel methods and gradient-based optimization.
V. A. Peleshenko
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