ANT COLONY OPTIMIZATION

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It is my distinct honour and privilege to welcome you to the Journal of Theoretical and Computational Science.

The Journal of Theoretical and Computational Science aims to spread knowledge and promote discussion through the publication of peer-reviewed, high quality research papers on all topics related to Modern Scientific Techniques. The open access journal is published by Longdom Publishing who hosts open access peer-reviewed journals as well as organizes conferences that hosts the work of researchers in a manner that exemplifies the highest standards in research integrity.

 

In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs. Artificial ants stand for multi-agent methods inspired by the behaviour of real ants.

 

Pheromone-based communication is one of the most effective ways of communication which is widely observed in nature. Pheromone is used by social insects such as bees, ants and termites; both for inter-agent and agent-swarm communications.

 

We always encourage your research works under the scope of our Journal of Theoretical and Computational Science.

With regards,

Angelina

Managing Editor

Journal of Theoretical and Computational Science

WhatsApp: +3225889658