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» Solving Hierarchical Optimization Problems Using MOEAs
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CEC
2007
IEEE
15 years 9 months ago
Light beam search based multi-objective optimization using evolutionary algorithms
Abstract— For the past decade or so, evolutionary multiobjective optimization (EMO) methodologies have earned wide popularity for solving complex practical optimization problems,...
Kalyanmoy Deb, Abhay Kumar
SAT
2005
Springer
142views Hardware» more  SAT 2005»
15 years 8 months ago
Optimizations for Compiling Declarative Models into Boolean Formulas
Advances in SAT solver technology have enabled many automated analysis and reasoning tools to reduce their input problem to a SAT problem, and then to use an efficient SAT solver ...
Darko Marinov, Sarfraz Khurshid, Suhabe Bugrara, L...
PE
2008
Springer
81views Optimization» more  PE 2008»
15 years 3 months ago
Using cross-system diversity in heterogeneous networks: Throughput optimization
This paper investigates the situation where a group of terminals can be simultaneously connected to several base stations using distinct technologies on nonoverlapping frequency b...
Samson Lasaulce, Alberto Suárez 0002, Raul ...
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ICML
2006
IEEE
16 years 4 months ago
Convex optimization techniques for fitting sparse Gaussian graphical models
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
GECCO
2009
Springer
119views Optimization» more  GECCO 2009»
15 years 7 months ago
Cooperative micro-differential evolution for high-dimensional problems
High–dimensional optimization problems appear very often in demanding applications. Although evolutionary algorithms constitute a valuable tool for solving such problems, their ...
Konstantinos E. Parsopoulos