Sentence examples for rule and evolution from inspiring English sources

The plastic-damage model is based on the yield function, flow rule and evolution law for hardening variable, and includes an explicit isotropic damage law to simulate the stiffness degradation and the softening behaviour of cement based materials in compression.

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.

In sharp contrast to previously published works, the evolution equations are a priori enforced by employing a suitable parameterization of the flow rule and the evolution equations.

Sewell cites Darwin's work as the reason for the development of something that he broadly categorises as a form of moral detachment from societal rules and norms: evolution is random and without purpose therefore I can do whatever I please.

Building the network might also require a revision of patient privacy rules and an "evolution" in the public's attitudes about allowing researchers to use their medical data.

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.

From this simple food web, the main "rules" of ecology and evolution are apparent (Fig.  3b).

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).

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).

While most of the work done in this area focuses on identifying and documenting business rules, we have proposed a methodology that addresses several aspects of the business rules lifecycle: acquisition, deployment and evolution.

STAP was applied to questions that were not addressed previously, such as the characterization of rules of cooperative interactions and evolution of TF-target relationship.