Results 251 to 260 of about 94,179 (301)

Finding preferred subsets of Pareto optimal solutions

Computational Optimization and Applications, 2007
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Kao, Gio K., Jacobson, Sheldon H.
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Distributed pareto-optimal solutions via diffusion adaptation

2012 IEEE Statistical Signal Processing Workshop (SSP), 2012
We consider solving multi-objective optimization problems in a distributed manner over a network of nodes. The problem is equivalent to optimizing a global cost that is the sum of individual components. Diffusion adaptation enables the nodes to cooperate locally through in-network processing in order to approach Pareto-optimality.
Jianshu Chen, Ali H. Sayed
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Pareto-Optimal Solutions for a Truss Problem

Advanced Materials Research, 2011
Most optimization problems, particularly those in engineering design, require the simultaneous optimization of more than one objective function. In this context, the solutions of these problems are based on the Pareto frontier construction. Substantial efforts have been made in recent years to develop methods for the construction of Pareto frontiers ...
W. El Alem, A. El Hami, Rachid Ellaia
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"Smart" design space sampling to predict Pareto-optimal solutions

Proceedings of the 13th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, Tools and Theory for Embedded Systems, 2012
Many high-level synthesis tools offer degrees of freedom in mapping high-level specifications to Register-Transfer Level descriptions. These choices do not affect the functional behavior but span a design space of different cost-performance tradeoffs.
Zuluaga Marcela, Krause Andreas, Milder Peter A., Pueschel Markus   +3 more
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PARETO-OPTIMAL SOLUTIONS FOR SOME BICRITERIA TRANSPORTATION PROBLEMS

IFAC Proceedings Volumes, 1986
Abstract Distribution of limited resources taking into account both transportation costs and degree of demand satisfaction at all destinations is formalized in a bicriteria transportation problem. As equitable distributions Pareto-optimal solutions are proposed. To obtain them the initial model is transformed into a parametric transportation problem,
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Coalition Pareto-Optimal Solution in a Nontransferable Game

Doklady Mathematics
Summary: By the end of the last century, four directions had been established in the mathematical theory of differential positional games (DPI): a non-coalition version of DPI, a cooperative, hierarchical and, finally, the least studied, a coalition version of DPI.
Zhukovskiĭ, Vladislav I., Zhukovskaya, Lidiya V., Smirnova, Lidiya V.   +2 more
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Pareto Optimal or Efficient Solutions

1985
In this chapter we shall concentrate on Pareto preference and its induced nondominated solutions, both on Y and on X.
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WPT System Coupling Inductors: Exploring Pareto Optimal Solutions

2019 19th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering (ISEF), 2019
Wireless Power Transfer (WPT) Systems could be used instead of traditional cable connection to a power station. Nevertheless, these systems are affected by the magnetic characteristic of the coupling coils, so that these devices should be carefully designed. In this paper, a pair of faced pancake coils equipped with ferrite concentrators is considered.
Bertoluzzo M., Forzan M., Di Barba P., Mognaschi M. E., Sieni E.   +4 more
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Graphical Illustration of Pareto Optimal Solutions

2003
The comparison of different alternatives is a part of many multicriteria optimization and decision making methods. This task may be very demanding for the decision maker and illustrating the alternatives is often helpful. Unfortunately, with more than two criteria, the graphical illustration is not trivial and it gets even more demanding with more ...
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On the characterization of Pareto-optimal solutions in bicriterion optimization

Journal of Optimization Theory and Applications, 1979
For bicriterion optimization involving objective functionsf 1 andf 2 defined on a decision spaceX, a condition is presented under which the Pareto-optimal points can be characterized as solutions of the scalar optimization problems: Minimizef 1(x), subject tof 2(x)≤α,x ∈X, which α ranges over a certain interval.
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