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EMO
2006
Springer
219views Optimization» more  EMO 2006»
15 years 7 months ago
ParadisEO-MOEO: A Framework for Evolutionary Multi-objective Optimization
Abstract. This paper presents ParadisEO-MOEO, a white-box objectoriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms. This paradig...
Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourd...
CEC
2007
IEEE
15 years 5 months ago
Fitness inheritance in evolutionary and multi-objective high-level synthesis
Abstract—The high-level synthesis process allows the automatic design and implementation of digital circuits starting from a behavioral description. Evolutionary algorithms are v...
Christian Pilato, Gianluca Palermo, Antonino Tumeo...
132
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PDPTA
2000
15 years 5 months ago
Parallel Evolutionary Multi-Criterion Optimization for Block Layout Problems
In this paper, a parallel evolutionary multi-criteria optimization algorithm: DGA and DRMOGA are applied to block layout problems. The results are compared to the results of SGA an...
Shinya Watanabe, Tomoyuki Hiroyasu, Mitsunori Miki
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
15 years 5 months ago
Evolutionary facial feature selection
With the growing number of acquired physiological and behavioral biometric samples, biometric data sets are experiencing tremendous growth. As database sizes increase, exhaustive ...
Aaron K. Baughman
GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
15 years 5 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya