Name
Abstract | ||
|---|---|---|
It is proposed to use ant algorithms together with the object-oriented simulation models. To optimize the functioning of the automated technological complex machining together with a modified ant algorithm it is designed object model, which allows to calculate the fitness function and evaluate potential solutions. The transition and calculation of the concentration for synthetic pheromone rules are determined for supposed directed ant algorithms. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-57261-1_45 | ARTIFICIAL INTELLIGENCE TRENDS IN INTELLIGENT SYSTEMS, CSOC2017, VOL 1 |
Keywords | Field | DocType |
Natural computing,Ant colony algorithm,Production schedules component,Flexible manufacturing systems | ANT,Ant colony optimization algorithms,Mathematical optimization,Natural computing,Computer science,Object model,Machining,Fitness function,Schedule | Conference |
Volume | ISSN | Citations |
573 | 2194-5357 | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuriy Skobtsov | 1 | 1 | 0.96 |
| Olga Chengar | 2 | 0 | 0.34 |
| Vadim Skobtsov | 3 | 2 | 2.26 |
| Alexander N. Pavlov | 4 | 24 | 4.40 |