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» On Using Populations of Sets in Multiobjective Optimization
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GECCO
2005
Springer
148views Optimization» more  GECCO 2005»
15 years 3 months ago
Multiobjective VLSI cell placement using distributed genetic algorithm
Genetic Algorithms have worked fairly well for the VLSI cell placement problem, albeit with significant run times. Two parallel models for GA are presented for VLSI cell placemen...
Sadiq M. Sait, Mohammed Faheemuddin, Mahmood R. Mi...
GECCO
2003
Springer
115views Optimization» more  GECCO 2003»
15 years 2 months ago
A Specialized Island Model and Its Application in Multiobjective Optimization
This paper discusses a new model of parallel evolutionary algorithms (EAs) called the specialized island model (SIM) that can be used to generate a set of diverse non-dominated sol...
Ningchuan Xiao, Marc P. Armstrong
CIDM
2009
IEEE
15 years 4 months ago
Ensemble member selection using multi-objective optimization
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
Tuve Löfström, Ulf Johansson, Henrik Bos...
CEC
2009
IEEE
14 years 7 months ago
Multi-objective Combinatorial Optimisation with Coincidence algorithm
-- Most optimization algorithms that use probabilistic models focus on extracting the information from good solutions found in the population. A selection method discards the below...
Warin Wattanapornprom, Panuwat Olanviwitchai, Para...
CVPR
2007
IEEE
15 years 11 months ago
Statistical Shape Analysis of Multi-Object Complexes
An important goal of statistical shape analysis is the discrimination between populations of objects, exploring group differences in morphology not explained by standard volumetri...
Kevin Gorczowski, Martin Styner, Ja-Yeon Jeong, J....