534 search results - page 26 / 107 » Expert-driven genetic algorithms for simulating evaluation f... |
FPL
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. We present an evaluation of accelerating fault simulation by hardware emulation on FPGA. Fault simulation is an important subtask in test pattern generation and it is fre...
GECCO
2010
Springer
13 years 8 months ago
2010
Springer
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
GECCO
2010
Springer
14 years 1 months ago
2010
Springer
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
WSC
2004
13 years 10 months ago
2004
This paper develops a variant of Simulated Annealing (SA) algorithm for solving discrete stochastic optimization problems where the objective function is stochastic and can be eva...
EVOW
2004
Springer
14 years 1 months ago
2004
Springer
Cellular Genetic Algorithms (cGAs) are a subclass of Genetic Algorithms (GAs) in which the population diversity and exploration are enhanced thanks to the existence of small overla...