54 search results - page 10 / 11 » Parameter Tuning for Buck Converters Using Genetic Algorithm... |
JGO
2010
13 years 4 months ago
2010
A new and universal penalty method is introduced in this contribution. It is especially intended to be applied in stochastic metaheuristics like genetic algorithms, particle swarm...
GECCO
2005
Springer
13 years 11 months ago
2005
Springer
During the optimization of a constrained problem using evolutionary algorithms (EAs), an individual in the population can be described using three important properties, i.e., obje...
GECCO
2008
Springer
13 years 7 months ago
2008
Springer
This paper compares three common evolutionary algorithms and our modified GA, a Distributed Adaptive Genetic Algorithm (DAGA). The optimal approach is sought to adapt, in near rea...
CGO
2011
IEEE
12 years 9 months ago
2011
IEEE
—Approximating ideal program outputs is a common technique for solving computationally difficult problems, for adhering to processing or timing constraints, and for performance ...
EC
2010
13 years 6 months ago
2010
Memetic algorithms with continuous local search methods have arisen as effective tools to address the difficulty of obtaining reliable solutions of high precision for complex cont...