Name
Title | ||
|---|---|---|
An interactive genetic algorithm based on improved sharing mechanism for automobile modeling design |
Abstract | ||
|---|---|---|
By introducing niche ideas based on sharing mechanism into the domain of interactive evolutionary computation, an interactive genetic algorithm based on improved sharing mechanism (ISMIGA) is developed. In the algorithm, the concept of niche entropy and adaptive niche radius is introduced to ensure population diversity, which avoids local converge, improves algorithm efficiency and contributes to balance the defects which are generated when the traditional interactive genetic algorithm deals with the contradiction between maintaining population diversity and accelerating the convergence. The simulation experiment of automobile modeling design shows the proposed algorithm is feasible and effective. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-23881-9_84 | AICI (1) |
Keywords | Field | DocType |
improved sharing mechanism,adaptive niche radius,interactive genetic algorithm,niche idea,traditional interactive genetic algorithm,automobile modeling design,algorithm efficiency,niche entropy,interactive evolutionary computation,proposed algorithm,population diversity | Interactive evolutionary computation,Convergence (routing),Algorithmic efficiency,Simulation,Computer science,Population diversity,Artificial intelligence,Machine learning,Genetic algorithm | Conference |
Volume | ISSN | Citations |
7002 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chang-Yong Liang | 1 | 275 | 20.92 |
| Meiju Cai | 2 | 0 | 0.68 |
| Qing Lu | 3 | 0 | 0.34 |