Titlebook: Unconventional Computation; 6th International Co Selim G. Akl,Cristian S. Calude,H. Todd Wareham Conference proceedings 2007 Springer-Verla

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书目名称Unconventional Computation影响因子(影响力)




书目名称Unconventional Computation影响因子(影响力)学科排名




书目名称Unconventional Computation网络公开度




书目名称Unconventional Computation网络公开度学科排名




书目名称Unconventional Computation被引频次




书目名称Unconventional Computation被引频次学科排名




书目名称Unconventional Computation年度引用




书目名称Unconventional Computation年度引用学科排名




书目名称Unconventional Computation读者反馈




书目名称Unconventional Computation读者反馈学科排名

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Polarizationless P Systems with Active Membranes Working in the Minimally Parallel Modeof non-elementary membranes. Moreover, we elaborate an algorithm for solving .-complete problems, yet in this case we need evolution rules generating at least two objects as well as rules for non-elementary membrane division.

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Computing Through Gene Assemblyaper, we expand the computing model with a new molecular operation such as . - .. Then we prove that the extended contextual intramolecular gene assembly model is both computationally universal and efficient.

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The Abstract Immune System AlgorithmBesides presenting the Algorithm itself, we briefly discuss its various parameters, how to encode input data and how to extract the output data from its outcome. The reader can do their own experiments using the workbench found in the address ..

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Using River Formation Dynamics to Design Heuristic Algorithmson river formation dynamics and provides some advantages over other heuristic methods, like ant colony optimization methods. We present our basic scheme and we illustrate its usefulness applying it to a concrete example: The Traveling Salesman Problem.

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Principles of Stochastic Local Searchesult which states that stochastic local search using restarts has a provable complexity advantage compared to deterministic local search. An important side aspect is the insight that restarting (starting the search process all over, not using any information computed before) is a useful concept which was mostly ignored before.

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How Neural Computing Can Still Be Unconventional After All These Yearsed learning, and reinforcement learning. The present talk will place such studies in a broader context based on the diversity of structures in the mammalian brain – not only does the cerebral cortex have many regions with their own distinctive characteristics, but their architecture differs drastica

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