Sentence examples for evolutionary exploration from inspiring English sources

By employing the notion of co-evolution to adapt penalty factors, this paper proposes a co-evolutionary particle swarm optimization approach (CPSO) for constrained optimization problems, where PSO is applied with two kinds of swarms for evolutionary exploration and exploitation in spaces of both solutions and penalty factors.

Thus, the very feature that both facilitates evolutionary exploration of novel functions and causes their constrained evolution is probably a generic property of protein sequence space.

All of these mechanisms may help to minimize the chance that transposable elements would cause disease, but would instead enable evolutionary exploration of changes in gene expression and new cellular functions.

The burden is heavier here than on other works that make similar assumptions (e.g. the works of Freeland and colleagues) but in which no claims about evolutionary trajectories or the mode of evolutionary exploration are made.

In conclusion, we propose that hnRNP C plays a critical role in protecting the transcriptome from the harmful effects of aberrant Alu exonization, while stabilizing a large reservoir of Alu elements in the human genome to facilitate the evolutionary exploration of new functions.

Continued genetic, physiological, and evolutionary explorations promise to further increase our understanding of these remarkable symbiotic associations.

However, most of these studies were based on molecular sequences, which are fast evolving and of limited value for deep evolutionary explorations.

MAPSO develops an innovative strategy of diversity-measurement to evaluate the population distribution, and performs a real-time alternating strategy to determine one of two predefined evolutionary states, exploration and exploitation, in each iteration.

Zhan et al. outlined the necessity of updating these coefficients at each step following the evolutionary state (exploration, exploitation, convergence or jumping out from a local optimum).

This property both facilitates evolutionary innovation through exploration of a genotype network, and it constrains the evolution of novel phenotypes.

The longlist for the 2005 Aventis Prizes for Science Books' general prize, which recognises the best in popular science writing, includes The Human Mind, the latest book from chair of the 2004 judging panel Robert Winston, and The Ancestor's Tale, Richard Dawkins' exploration of evolutionary biology.