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» Computational Evolutionary Embryogeny
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ASC
2011
13 years 3 months ago
Evolutionary cepstral coefficients
Evolutionary algorithms provide flexibility and robustness required to find satisfactory solutions in complex search spaces. This is why they are successfully applied for solvin...
Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Die...
SAC
2002
ACM
13 years 8 months ago
Simulating evolutionary agent communities with OOCSMP
This paper describes some extensions added to the continuous simulation language OOCSMP to perform agent-oriented simulation. The extensions are tested by simulating the evolution...
Manuel Alfonseca, Juan de Lara
PPSN
2010
Springer
13 years 6 months ago
Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis
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:...
Olaf Mersmann, Mike Preuss, Heike Trautmann
GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
14 years 2 months ago
Some theoretical results about the computation time of evolutionary algorithms
This paper focuses on the computation time of evolutionary algorithms. First, some exact expressions of the mean first hitting times of general evolutionary algorithms in finite...
Lixin X. Ding, Jinghu Yu
TEC
2002
128views more  TEC 2002»
13 years 8 months ago
A framework for evolutionary optimization with approximate fitness functions
It is not unusual that an approximate model is needed for fitness evaluation in evolutionary computation. In this case, the convergence properties of the evolutionary algorithm are...
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff