Ant colony optimization (ACO) was first proposed by Dorigo et al. as a multi-agent approach applied to the classical traveling sales man problem (TSP) [Dorigo M., Maniezzo V. and Colorni A. Positive feedback as a search strategy. Report No.: 91-016. 1991]. In support of deep learning and deep neural networks where hundreds to thousands of collaborative neural layers consume billions of operations, and cannot be operational unless the efficient and optimized corporation of a multiprocessor or multicore CPU with a thousandcore GPU [Sze, V., Chen, Y. H., Yang, T. J., & Emer, J. S. Efficient processing of deep neural networks: A tutorial and survey. Proceedings of the IEEE, 105(12), 2295-2329, 2017].
Hi Eduard,
My first recommendation is to choose a proper platform and programming language suitable for Concurrency , distributed computing and scalability , easy to implement NN. Erlang is what I am using at the moment, I found it is perfect for this type of implementation; any other platform would cost you enormous amount of investment to get anywehere.
Then you need an architecture from bottom-up. scalability is very important in the solution your seeking.
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