6 search results - page 1 / 2 » Benchmarking Evolutionary Algorithms: Towards Exploratory La... |
PPSN
2010
Springer
13 years 3 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:...
CEC
2005
IEEE
13 years 11 months ago
2005
IEEE
Abstract- Choosing the best parameter setting is a wellknown important and challenging task in Evolutionary Algorithms (EAs). As one of the earliest parameter tuning techniques, th...
TEC
2002
13 years 5 months ago
2002
Most applications of evolutionary algorithms (EAs) deal with static optimization problems. However, in recent years, there has been a growing interest in timevarying (dynamic) prob...
CEC
2009
IEEE
14 years 12 days ago
2009
IEEE
— Parameter setting is an important issue in the design of evolutionary algorithms. Recently, experimental work has pointed out that it is often not useful to work with a fixed ...
GECCO
2009
Springer
14 years 6 days ago
2009
Springer
Software testing can be re-formulated as a search problem, hence search algorithms (e.g., Genetic Algorithms) can be used to tackle it. Most of the research so far has been of emp...