We consider time complexity classes defined on accepting hybrid networks of evolutionary processors (AHNEP) similarly to the classical time complexity classes defined on the standard computing model of Turing machine. By definition, AHNEPs are deterministic. We prove that the classical complexity class NP equals the set of languages accepted by...
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January 17, 2017 (v1)PublicationUploaded on: December 4, 2022
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January 18, 2018 (v1)Publication
We consider three complexity classes defined on Accepting Hybrid Networks of Evolutionary Processors (AHNEP) and compare them with the classical complexity classes defined on the standard computing model of Turing machine. By definition, AHNEPs are deterministic. We prove that the classical complexity class NP equals the family of languages...
Uploaded on: March 27, 2023 -
October 25, 2016 (v1)Publication
In this paper the behaviour of a bee colony is modeled as a society of communicating agents acting in parallel and synchroniz-ing their behaviour. Two computational models for defining the agents behaviour are introduced and compared and tools developed for these models are briefly illustrated.
Uploaded on: March 27, 2023 -
October 25, 2016 (v1)Publication
A hybrid network of evolutionary processors consists of several processors which are placed in nodes of a virtual graph and can perform one simple operation only on the words existing in that node in accordance with some strategies. Then the words which can pass the output filter of each node navigate simultaneously through the network and...
Uploaded on: December 5, 2022