2174 search results - page 149 / 435 » On the Brittleness of Evolutionary Algorithms |
163
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GECCO
2007
Springer
16 years 15 days ago
2007
Springer
In the design of evolutionary multiobjective optimization (EMO) algorithms, it is important to strike a balance between diversity and convergence. Traditional mask-based crossover...
161
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SOFTVIS
2006
ACM
16 years 9 days ago
2006
ACM
It is vital for any developer to keep track of changes during his project. Thus, it is common practice to take static snapshots of single class diagrams. But to preserve the menta...
180
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ISSTA
2004
ACM
15 years 11 months ago
2004
ACM
Object oriented programming promotes reuse of classes in multiple contexts. Thus, a class is designed and implemented with several usage scenarios in mind, some of which possibly ...
129
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EH
2003
IEEE
15 years 11 months ago
2003
IEEE
This paper describes a technique for evolving similar solutions to similar configuration design problems. Using the configuration design of combination logic circuits as a testb...
171
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...