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A New Characterization of NP, P, and PSPACE with Accepting Hybrid Networks of Evolutionary Processors

机译:接受进化处理器混合网络的NP,P和PSPACE的新表征

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摘要

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 decided by AHNEPs in polynomial time. A language is in P if and only if it is decided by an AHNEP in polynomial time and space. We also show that PSPACE equals the family of languages decided by AHNEPs in polynomial length.
机译:我们考虑了在接受进化处理器混合网络(AHNEP)上定义的三个复杂度类别,并将它们与在图灵机的标准计算模型上定义的经典复杂度类别进行比较。根据定义,AHNEP是确定性的。我们证明经典复杂度类NP等于AHNEP在多项式时间内确定的语言族。当且仅当由AHNEP在多项式时间和空间中确定语言时,语言才能使用P。我们还表明,PSPACE在多项式长度上等于AHNEP决定的语言族。

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