Name
Abstract | ||
|---|---|---|
A genetic algorithm (GA) can find an optimal solution in many complex problems. GAs have been widely used in many applications. A flexible-very-large-scale integration intellectual property for the GA has been proposed in this paper. This algorithm can dynamically perform various population sizes, fitness lengths, individual lengths, fitness functions, crossover operations, and mutation-rate setti... |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/TIM.2007.913807 | IEEE Transactions on Instrumentation and Measurement |
Keywords | Field | DocType |
Genetic algorithms,Hardware design languages,Application software,Intellectual property,Software systems,Very large scale integration,Genetic mutations,Costs,Design automation,Computer science | Population,Crossover,Computer science,Electronic engineering,Electronic design automation,Verilog,Application software,Computer engineering,Very-large-scale integration,Genetic algorithm,Clock rate | Journal |
Volume | Issue | ISSN |
57 | 4 | 0018-9456 |
Citations | PageRank | References |
13 | 0.87 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pei-Yin Chen | 1 | 314 | 38.47 |
| Ren-Der Chen | 2 | 13 | 1.54 |
| Yu-Pin Chang | 3 | 27 | 3.62 |
| Leang-san Shieh | 4 | 196 | 32.43 |
| Heidar A. Malki | 5 | 123 | 14.79 |