190 search results - page 19 / 38 » Combining Convergence and Diversity in Evolutionary Multiobj... |
105
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CEC
2007
IEEE
15 years 3 months ago
2007
IEEE
Abstract—The high-level synthesis process allows the automatic design and implementation of digital circuits starting from a behavioral description. Evolutionary algorithms are v...
108
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GECCO
2010
Springer
15 years 6 months ago
2010
Springer
Niching schemes, which sustain population diversity and let an evolutionary population avoid premature convergence, have been extensively studied in the research field of evoluti...
CEC
2005
IEEE
15 years 7 months ago
2005
IEEE
—A principal challenge in modern computational finance is efficient portfolio design – portfolio optimization followed by decision-making. Optimization based on even the widely...
ICPR
2010
IEEE
15 years 4 months ago
2010
IEEE
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...
106
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
Multiobjective optimization problems with many local Pareto fronts is a big challenge to evolutionary algorithms. In this paper, two operators, biased initialization and biased cr...