Sentence examples for Individuals evolve from inspiring English sources
Individuals evolve through an iterative process [17].
To achieve this, in addition to the above exploration controlling mechanism, a multi-tier hierarchical architecture is employed, where, in separate layers, the less fit isolated individuals evolve in dynamic sub-populations that coexist alongside the original or main population.
She has done this for nearly 30 years by working with franchisees, vendors, partners and team employees, helping individuals evolve and reach their fullest potential.
Unlike a misconception such as "individuals evolve" which has likely been built over a lifetime of personal experience with being able to "adapt" to new situations, these ideas are probably not created until we ask this specific question.
For the student, individual changes mean that the individuals evolve or adapt to the changing environment; and as we have already discussed, this deterministic adaptive change or evolution is understood to be caused by the "need" of that change and/or as a result of the "changes in the environment," or sometimes even because of the subconscious efforts of organisms to improve themselves.
Need to change Yes Yes Individuals evolve Yes Yes Gradual population change Yes Yes Adaptive mutation No Yes Beneficial traits Not assessed Yes Acquired traits Not assessed Yes Comparison of student improvement on misconceptions when using the workbook version of the Darwinian Snails module (as measured by Abraham et al. 2009) or using the tutorial version (data from study 1; Fig. 3; Table 4).
The terms are renegotiated formally every year but can be changed at any point to reflect new work requirements and individuals' evolving skills and interests.
A general developmental schema of how the strength of correlations between cognitive abilities of low- and high-IQ individuals evolves during the entire life span is sketched in the discussion.
The population of individuals evolves through mating between members.
By contrast, the share of highly educated individuals evolved very favourably (around 10 percentage points) and it is currently among the highest, certainly above the EU 15 average.
Genetic algorithms (GA) are random optimization algorithms inspired on natural evolution, a population of individuals evolves through mutation and crossover to maximize a fitness function.
