512 search results - page 41 / 103 » On Evolutionary Optimization of Large Problems Using Small P... |
102
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GECCO
2006
Springer
15 years 4 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
124
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EC
2000
15 years 10 days ago
2000
In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function i...
102
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PPSN
2004
Springer
15 years 5 months ago
2004
Springer
In empirical studies of Evolutionary Algorithms, it is usually desirable to evaluate and compare algorithms using as many different parameter settings and test problems as possible...
128
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GECCO
2008
Springer
15 years 1 months ago
2008
Springer
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
136
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EUROGP
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. Wireless sensor networks (WSNs) are medium scale manifestations of a paintable or amorphous computing paradigm. WSNs are becoming increasingly important as they attain gr...