190 search results - page 20 / 38 » Combining Convergence and Diversity in Evolutionary Multiobj... |
106
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CEC
2007
IEEE
15 years 8 months ago
2007
IEEE
Abstract— For solving multimodal problems by means of evolutionary algorithms, one often resorts to multistarts or niching methods. The latter approach the question: ‘What is e...
118
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HIS
2008
15 years 3 months ago
2008
Most symbolic classifiers aim at building sets of rules with good coverage and precision. While this is suitable for most applications, they tend to neglect other desirable proper...
128
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CEC
2010
IEEE
15 years 2 months ago
2010
IEEE
An evolutionary approach for the optimization of microarray coatings produced via sol-gel chemistry is presented. The aim of the methodology is to face the challenging aspects of t...
EMO
2005
Springer
15 years 7 months ago
2005
Springer
Abstract. Evolutionary algorithms have been quite effective in dealing with single-objective “optimization” while the area of Evolutionary Multiobjective Optimization (EMOO) h...
111
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
In multiobjective particle swarm optimization (MOPSO) methods, selecting the local best and the global best for each particle of the population has a great impact on the convergen...