2147 search results - page 55 / 430 » Evolutionary Algorithms |
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GECCO
2005
Springer
15 years 4 months ago
2005
Springer
Many real-world problems are multi-objective optimization problems and evolutionary algorithms are quite successful on such problems. Since the task is to compute or approximate t...
84
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CEC
2007
IEEE
15 years 3 months ago
2007
IEEE
Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. The ...
76
Voted
IJCAI
2007
15 years 14 days ago
2007
— Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. ...
101
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AAAI
2006
15 years 14 days ago
2006
Among various feature extraction algorithms, those based on genetic algorithms are promising owing to their potential parallelizability and possible applications in large scale an...
GECCO
2008
Springer
15 years 4 days ago
2008
Springer
This paper compares three common evolutionary algorithms and our modified GA, a Distributed Adaptive Genetic Algorithm (DAGA). The optimal approach is sought to adapt, in near rea...