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» On Set-Based Multiobjective Optimization
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GECCO
2003
Springer
14 years 29 days ago
Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms
In this paper, we generalize the replacement rules based on the dominance relation in multiobjective optimization. Ordinary two replacement rules based on the dominance relation ar...
Tadahiko Murata, Shiori Kaige, Hisao Ishibuchi
ESORICS
2008
Springer
13 years 9 months ago
Security Provisioning in Pervasive Environments Using Multi-objective Optimization
Pervasive computing applications involve information flow across multiple organizations. Thus, any security breach in an application can have far-reaching consequences. However, ef...
Rinku Dewri, Indrakshi Ray, Indrajit Ray, Darrell ...
CEC
2008
IEEE
14 years 2 months ago
Parallel multi-objective optimization using Master-Slave model on heterogeneous resources
Abstract— In this paper, we study parallelization of multiobjective optimization algorithms on a set of hetergeneous resources based on the Master-Slave model. Master-Slave model...
Sanaz Mostaghim, Jürgen Branke, Andrew Lewis,...
EMO
2001
Springer
107views Optimization» more  EMO 2001»
14 years 7 days ago
Reducing Local Optima in Single-Objective Problems by Multi-objectivization
One common characterization of how simple hill-climbing optimization methods can fail is that they become trapped in local optima - a state where no small modi cation of the curren...
Joshua D. Knowles, Richard A. Watson, David Corne
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
14 years 1 months ago
Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms
Recent research into single–objective continuous Estimation– of–Distribution Algorithms (EDAs) has shown that when maximum–likelihood estimations are used for parametric d...
Peter A. N. Bosman, Dirk Thierens