669 search results - page 36 / 134 » An evolutionary method for complex-process optimization |
109
Voted
GECCO
2000
Springer
15 years 4 months ago
2000
Springer
A hybrid method of evolutionary algorithms is introduced in this study. The hybrid method includes two additional operations, acceleration and migrating operations. These two oper...
109
Voted
GECCO
2008
Springer
15 years 1 months ago
2008
Springer
A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...
126
Voted
PPSN
2010
Springer
14 years 10 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:...
GECCO
2005
Springer
15 years 6 months ago
2005
Springer
Evolutionary algorithms (EAs) are widely used to deal with optimization problems in dynamic environments (DE) [3]. When using EAs to solve DE problems, we are usually interested i...
127
Voted
HPCC
2007
Springer
15 years 4 months ago
2007
Springer
In wireless sensor networks with many-to-one transmission mode, a multi-objective TDMA (Time Division Multiple Access) scheduling model is presented, which concerns about the packe...