Name
Abstract | ||
|---|---|---|
In paper two-level genetic and ant algorithms are proposed to optimize the functioning of the automated technological machining complex. For suggested genetic and unt algorithms it is designed the object-oriented simulation model, which allows to calculate the fitness function and evaluate potential solutions. The problem-oriented crossover, mutation and reproduction operators for two-level genetic algorithm are developed. The transition and calculation of the concentration for synthetic pheromone rules are determined for suggested ant algorithms. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-33389-2_43 | AUTOMATION CONTROL THEORY PERSPECTIVES IN INTELLIGENT SYSTEMS |
Keywords | Field | DocType |
Genetic algorithms,Ant colony optimization,Object-oriented simulation model,Production schedule | Ant colony optimization algorithms,Memetic algorithm,Crossover,Evolutionary algorithm,Computer science,Evolutionary computation,Algorithm,Fitness function,Evolutionary programming,Genetic algorithm | Conference |
Volume | ISSN | Citations |
466 | 2194-5357 | 1 |
PageRank | References | Authors |
0.63 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuriy Skobtsov | 1 | 1 | 0.96 |
| Alexander Sekirin | 2 | 1 | 0.63 |
| Svetlana Zemlyanskaya | 3 | 1 | 0.63 |
| Olga Chengar | 4 | 1 | 0.63 |
| Vadim Skobtsov | 5 | 2 | 2.26 |
| Semyon A. Potryasaev | 6 | 18 | 7.34 |