Sentence examples for adaptive foraging from inspiring English sources

Nevertheless, Gaussian noise is ubiquitous in nature due to the Central Limit Theorem, and it is reasonable to assume that efficient, and adaptive, foraging behavior is mediated by a natural Gaussian noise.

An example of indirect evolutionary rescue by adaptive foraging.

Bifurcation plots of indirect evolutionary rescue by adaptive foraging.

Overall the behaviour is consistent with an adaptive foraging strategy, both to exploit new resources and also to redirect subsequent foraging effort to this region, presumably with an expectation that the probability of finding additional resources is increased.

Thus, in L. tarantula pre-copulatory sexual cannibalism is an evolved, adaptive foraging strategy.

Evidence suggests strongly, however, that any spillover effect, if present, is a minor component of L. tarantula sexual cannibalism, which appears to be primarily an adaptive foraging strategy.

Clearly, Gigantopithecus was a member of the Hominidae related to the orangutan, with divergent dental specializations that were possibly adaptive for foraging in grassland where tree products were unavailable and ground products available but hard to get, which makes it an orangutan lineage that ran for a while in parallel with that of humans.

Nasir et al. [16] focused on improving the performance of BFO by proposing novel adaptive bacteria foraging algorithms based on index of iteration, index of chemotaxis, and fitness value to overcome the oscillations in the convergence graph caused by the constant step size and to speed up the convergence in the case of using small step size.

Thus, the motivational mechanism observed here and the neural mechanism detailed above are most likely adaptations that were selected for during ancestral times and are, still adaptive now for foraging on the internet or in a supermarket.

In this paper, we propose two novel BFO algorithms, which are named as adaptive chemotaxis bacterial foraging optimization algorithm (ACBFO) and improved swarming and elimination-dispersal bacterial foraging optimization algorithm (ISEDBFO) respectively.

The model provides a framework for further investigation on the role of internal noise in realizing adaptive and efficient foraging behavior.