4167 search results - page 96 / 834 » Evolutionary functional testing |
104
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CEC
2007
IEEE
15 years 1 months ago
2007
IEEE
— Computational complexity is a major challenge in evolutionary algorithms due to their need for repeated fitness function evaluations. Here, we aim to reduce number of fitness f...
106
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FOGA
1990
15 years 1 months ago
1990
This paper describes the recently developed genetic programming paradigm which genetically breeds populations of computer programs to solve problems. In genetic programming, the i...
125
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CORR
2006
Springer
14 years 12 months ago
2006
Springer
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
103
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EUROGP
2001
Springer
15 years 4 months ago
2001
Springer
An evolutionary algorithm is used to design a finite impulse response digital filter with reduced power consumption. The proposed design approach combines genetic optimization an...
109
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CEC
2008
IEEE
15 years 1 months ago
2008
IEEE
It is often suggested that traditional models of artificial evolution, based on explicit, human-defined fitness functions, are fundamentally more restricted and less creative than ...