Optimal migration theory suggests specific scaling relationships between body size and migration speed for individual birds based on the minimization of time, energy, and risk. Here we test if the quantitative predictions originating from this theory can be detected when migration decisions are integrated across individuals. We estimated population-level migration trajectories and daily migrati...

The present paper reviews the scientific research on key global demographic megatrends such as population ageing and migration that have a significant long-term impact social economic development. However, attitudes towards these trends their consequences range from seeing them security threats to development opportunities. This review systematises studies identifies most promising areas explai...

Human settlements experience continual change. In recent years, many rural areas have experienced dispersed grow (rural sprawl) and population declines in traditional village centers (Hollowing). These paradoxical phenomena have occurred in most developing countries, including rural Iran. This study examines this phenomena in three Iranian villages of Kahak area of Qom province, and develops a ...

Current estimators of gene flow come in two methods; those that estimate parameters assuming that the populations investigated are a small random sample of a large number of populations and those that assume that all populations were sampled. Maximum likelihood or Bayesian approaches that estimate the migration rates and population sizes directly using coalescent theory can easily accommodate d...

We present Propulate, an evolutionary optimization algorithm and software package for global in particular hyperparameter search. For efficient use of HPC resources, Propulate omits the synchronization after each generation as done conventional genetic algorithms. Instead, it steers search with complete population at time breeding new individuals. provide MPI-based implementation our algorithm,...

In this article, a multipopulation Cultural Algorithm (MP-CA) is proposed to solve Job Shop Scheduling Problems (JSSP). The idea of using multiple populations in a Cultural Algorithm is implemented for the first time in JSSP. The proposed method divides the whole population into a number of sub-populations. On each sub-population, a local CA is applied which includes its own population space as...