Sentence examples for rule evolution from inspiring English sources

In accordance with the normality rule, evolution laws for the damage variables are obtained to complete the proposed plastic-damage model.

The above complete rule evolution process creates a dynamic green boundary and respected thresholds specifically for every new VM successor considering its size as well as the current workload volume.

The sort rule "evolution vs. function/physiology", for example, was used by some participants to distinguish functional/physiological items (the shark and apple questions) from evolution-focused items (the other eight questions).

This work eliminates such limitation by advocating OCSO IaaS optimization, which rest on optimized threshold algorithms and rule evolution equations as following:For resource utilization regulation: R V t = F P * ∑ n = 1 P / F M V n tn (1).

Where N is the number of total VMs at specified frequency F in monitor period P. Next, the new environment resource capacity (optimal VM number) and rule evolution take the form (the utilization regulation equation stays the same as (1)): Capacit y new = ∑ N = 1 Capacit y C ∑ n = 1 T R V n tn T N U + D + SecondaryMetri c C 2 * CapacityRatio ¯ (5).

An alternative approach utilizes carefully chosen extremophiles that have evolved genes, proteins, and mechanisms to naturally counter disease-inducing insults and ultimately follows Orgel's second rule: " Evolution is cleverer than you are".

The FIA said this would be addressed for 2017 by "aerodynamic rules evolution, wider tyres and a reduction in car weight".

MQEPS is an appropriate combination of P system approaches, quantum-inspired evolutionary algorithms and a local search, and is designed by using the hierarchical framework of cell-like P systems, the objects consisting of quantum-inspired bits and classical bits, the rules composed of quantum-inspired gate evolutionary rules and evolution rules in P systems, and tabu search in the skin membrane.

We call these rules strategy adoption rules and not evolution rules to avoid the mis-interpretation of our games as cellular automata-type games, where agents are replaced time-to-time.

Rules for potential pattern evolutions are predefined.

However, in fact, the same laws rule the evolution of any trait whose biological value (selection coefficient) depends on its frequency in the population[ 14], including evolution of many ontogenetical traits[ 15].