Kreinovich Vladik

Vladik Kreinovich

Information about the author Vladik Kreinovich will soon be added to the site.
Found 7 papers in total
Towards optimal effort distribution in process design under uncertainty, with application to education
Towards optimal effort distribution in process design under uncertainty, with application to education
2012
In most application areas, we need to take care of several (reasonably...
Model fusion under probabilistic and interval uncertainty, with application to Earth sciences
Model fusion under probabilistic and interval uncertainty, with application to Earth sciences
2012
One of the most important studies of the earth sciences is that of the Earth's...
Scale‐invariant approach to multi‐criterion optimisation under uncertainty, with applications to optimal sensor placement, in particular, to sensor placement in environmental research
Scale‐invariant approach to multi‐criterion optimisation under uncertainty, with applications to optimal sensor placement, in particular, to sensor placement in environmental research
2012
How, within a given budget, can we design a sensor network that would provide us with...
Efficient algorithms for heavy‐tail analysis under interval uncertainty
Efficient algorithms for heavy‐tail analysis under interval uncertainty
2012
Most applications of statistics to science and engineering are based on the assumption...
Theoretical justification of a heuristic sub-box selection criterion for interval global optimization
Theoretical justification of a heuristic sub-box selection criterion for interval global optimization
2001
The most widely used guaranteed methods for global optimization are probably the...
On the formulation of optimization under elastic constraints (with control in mind)
On the formulation of optimization under elastic constraints (with control in mind)
1996
The authors give a basic survey of various approaches to defining the maximum point of...
Genetic algorithms: What fitness scaling is optimal?
Genetic algorithms: What fitness scaling is optimal?
1993
Genetic algorithms are among the most promising optimization techniques. They are...
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