Sciweavers

ICASSP
2011
IEEE
13 years 3 months ago
Closed-form parameterization of the Pareto boundary for the two-user MISO interference channel
In this paper, we study an achievable rate region of the two-user multiple-input single-output (MISO) interference channel. We find the transmit beamforming vectors that achieve ...
Johannes Lindblom, Eleftherios Karipidis, Erik G. ...
GECCO
2008
Springer
153views Optimization» more  GECCO 2008»
14 years 18 days ago
G-Metric: an M-ary quality indicator for the evaluation of non-dominated sets
An open problem in multiobjective optimization using the Pareto optimality criteria, is how to evaluate the performance of different evolutionary algorithms that solve multi– o...
Giovanni Lizárraga Lizárraga, Arturo...
CEC
2010
IEEE
14 years 19 days ago
On convergence of multi-objective Particle Swarm Optimizers
Several variants of the Particle Swarm Optimization (PSO) algorithm have been proposed in recent past to tackle the multi-objective optimization problems based on the concept of Pa...
Prithwish Chakraborty, Swagatam Das, Ajith Abraham...
ECAL
2001
Springer
14 years 4 months ago
Pareto Optimality in Coevolutionary Learning
We develop a novel coevolutionary algorithm based upon the concept of Pareto optimality. The Pareto criterion is core to conventional multi-objective optimization (MOO) algorithms....
Sevan G. Ficici, Jordan B. Pollack
ISICA
2007
Springer
14 years 5 months ago
A New Evolutionary Decision Theory for Many-Objective Optimization Problems
In this paper the authors point out that the Pareto Optimality is unfair, unreasonable and imperfect for Many-objective Optimization Problems (MOPs) underlying the hypothesis that ...
Zhuo Kang, Lishan Kang, Xiufen Zou, Minzhong Liu, ...
GECCO
2007
Springer
196views Optimization» more  GECCO 2007»
14 years 5 months ago
Pareto optimal search based refactoring at the design level
Refactoring aims to improve the quality of a software systems’ structure, which tends to degrade as the system evolves. While manually determining useful refactorings can be cha...
Mark Harman, Laurence Tratt