203 search results - page 7 / 41 » Fitness landscapes and problem hardness in evolutionary comp... |
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PPSN
2010
Springer
14 years 7 months ago
2010
Springer
We present methods to answer two basic questions that arise when benchmarking optimization algorithms. The first one is: which algorithm is the `best' one? and the second one:...
PPSN
2004
Springer
15 years 2 months ago
2004
Springer
Considerable research effort has been spent in trying to formulate a good definition of GA-Hardness. Given an instance of a problem, the objective is to estimate the performance of...
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
PPSN
2004
Springer
15 years 2 months ago
2004
Springer
Theoretically and empirically it is clear that a genetic algorithm with crossover will outperform a genetic algorithm without crossover in some fitness landscapes, and vice versa i...
104
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FLAIRS
2004
14 years 11 months ago
2004
In multimodal function optimization, niching techniques create diversification within the population, thus encouraging heterogeneous convergence. The key to the effective diversif...