Literature

Synthesis Production Schedules Based on Ant Colony Optimization Method

Yuriy Skobtsov, Olga Chengar, Vadim Skobtsov, and Alexander N. Pavlov. Synthesis Production Schedules Based on Ant Colony Optimization Method // Artificial Intelligence Trends in Intelligent Systems: Proceedings of the 6th Computer Science On-line Conference 2017 (CSOC2017). Vol.1. Series “Advances in Intelligent Systems and Computing, Volume 573. P.456-465. DOI 10.1007/978-3-319-57261-1


Yuriy Skobtsov, Olga Chengar, Vadim Skobtsov, and Alexander N. Pavlov. Synthesis Production Schedules Based on Ant Colony Optimization Method // Artificial Intelligence Trends in Intelligent Systems: Proceedings of the 6th Computer Science On-line Conference 2017 (CSOC2017). Vol.1. Series “Advances in Intelligent Systems and Computing, Volume 573. P.456-465. DOI 10.1007/978-3-319-57261-1


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.