A proof of convergence for Ant algorithms
Information Sciences—Informatics and Computer Science: An International Journal
The spatial pheromone signal for ant colony optimisation
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Markovian ants in a queuing system
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
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The exponential pheromone signal of the AI hybrid of Markovian Ant Queuing System - MAQS, is divided into the spatial and deposit pheromone fractions which have the identical values. A new hybrid is formed. The convolution of two new exponential signals has the Erlang distribution. Introducing the interstate in the process of markovization the Erlang Queuing Ant System - EQAS, is solved. Comparison of the average distance between artificial ants in MAQS and EAQS gave particular numerical specificity. The average distances are in ? equilibrium. Constant ? is a famous constant of the Golden ratio.