Titlebook: Artificial Life and Evolutionary Computation; 13th Italian Worksho Stefano Cagnoni,Monica Mordonini,Marco Villani Conference proceedings 20

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注射器

Optimal Curing Strategy Enhancement of Epidemic Processes with Self-adaptive SBX Crossoveres is the research of an optimal curing policy able to suppress the epidemic. In this paper, we model the epidemic spreading in networks with a Susceptible-Infected-Susceptible (SIS) process and exploit the N-Intertwined Mean-Field Approximation (NIMFA) of the SIS model. Then, we propose a constrain

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土坯

cyanosis

Evolving Critical Boolean Networksg at evolving networks with a given fraction of active nodes along the attractors, while constraining the evolutionary process to move across critical networks. Results show that this path along criticality does not impede to climb the mount of improbable, yet biologically realistic requirements.

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報復(fù)

https://doi.org/10.1007/978-3-030-21982-6. The original contribution of the paper stays in discussing how the methodology can be applied under several meta-learning conditions and its experimentation on the real world SPDR Gold Trust (GLD) timeseries.

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尖酸一點

Clinical Pharmacology of Gestagensnd patterns obtained from networks of autonomous inorganic oscillators confined in self-assembled structures and coupled . chemical communication. The second shows how a specific autocatalytic reaction can trigger conformational changes of self-assembled structures, giving rise to membrane self-division processes.

大酒杯

Abnormalities and Breast Disease,Our results show that a moderate amount of self-loops make random Boolean networks more suitable to reproduce differentiation phenomena. This is a further evidence that self-loops play an important role in genetic regulatory networks.