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» Smoothed Analysis of Multiobjective Optimization
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GECCO
2007
Springer
193views Optimization» more  GECCO 2007»
14 years 1 months ago
Approximating covering problems by randomized search heuristics using multi-objective models
The main aim of randomized search heuristics is to produce good approximations of optimal solutions within a small amount of time. In contrast to numerous experimental results, th...
Tobias Friedrich, Nils Hebbinghaus, Frank Neumann,...
GECCO
2008
Springer
192views Optimization» more  GECCO 2008»
13 years 8 months ago
Non-linear factor model for asset selection using multi objective genetic programming
Investors vary with respect to their expected return and aversion to associated risk, and hence also vary in their performance expectations of the stock market portfolios they hol...
Ghada Hassan
EWC
2010
91views more  EWC 2010»
13 years 6 months ago
Multiobjective global surrogate modeling, dealing with the 5-percent problem
When dealing with computationally expensive simulation codes or process measurement data, surrogate modeling methods are firmly established as facilitators for design space explor...
Dirk Gorissen, Ivo Couckuyt, Eric Laermans, Tom Dh...
PE
2006
Springer
127views Optimization» more  PE 2006»
13 years 7 months ago
Design and analysis of a class-aware recursive loop scheduler for class-based scheduling
In this paper, we consider the problem of devising a loop scheduler that allocates slots to users according to their relative weights as smoothly as possible. Instead of the exist...
Raphael Rom, Moshe Sidi, Hwee Pink Tan
ISDA
2010
IEEE
13 years 5 months ago
Avoiding simplification strategies by introducing multi-objectiveness in real world problems
Abstract--In business analysis, models are sometimes oversimplified. We pragmatically approach many problems with a single financial objective and include monetary values for non-m...
Charlotte J. C. Rietveld, Gijs P. Hendrix, Frank T...