Roulette-wheel selection is a frequently used method in genetic and evolutionary algorithms or in modeling of complex networks. Existing routines select one of N individuals using search algorithms of O(N) or O(logN) complexity. We present a simple roulette-wheel selection algorithm, which...

Market-based instruments provide incentives for conservation on private lands, combining the economic efficiency of an auction with ecological site prioritization to select the best sites from those offered by landholders. However, landscape-scale goals such as increased habitat connectivity are...

A single-machine two-agent scheduling problem with a truncation learning effect is being addressed in the study. The truncation learning effect means that the actual processing time of a job is a function of the sum of processing times of already scheduled jobs and a control parameter. The aim...