The two factors that determine plant migration rates - seed dispersal and population growth - are generally treated independently, despite the fact that many animals simultaneously enhance plant migration rate via seed dispersal, and decrease it via negative effects of herbivory on population growth. Using extensive empirical data, we modelled the antagonistic effects of seed dispersal and herb...

Despite the growing importance of interregional migration at the local level in rapidly aging society, past literature overlooked the relationship between these two demographic phenomena. To better understand the determinants of interregional migration and its implications for population aging, this study estimated fixed-effects models derived from the gravity model of migration using populatio...

An advanced hierarchical parallel evolutionary algorithm (AHPEA) is proposed in this paper. To solve the problems caused by “homogeneous subpopulations” and “synchronous migration” of the traditional algorithm, AHPEA builds a heterogeneous model and adequately connect subpopulations. Once a subpopulation satisfies the migration conditions, it is allowed to implement the asynchronous migration a...

As a population-based optimizer, the differential evolution (DE) algorithm has a very good reputation for its competence in global search and numerical robustness. In view of the fact that each member of the population is evaluated individually, DE can be easily parallelized in a distributed way. This paper proposes a novel distributed memetic differential evolution algorithm which integrates L...

Genetic Programming (GP) was used to generate robot control programs for an obstacle avoidance task [1]. The task was to control an autonomous mobile robot from a starting point to a target point in a simulated environment. The environment was filled with the obstacles which had several geometrical shapes. In order to improve the robustness of the program, each program was evaluated under many ...

This paper addresses scheduling problems in hybrid flow shop-like systems with a migration parallel genetic algorithm (PGA MIG). This parallel genetic algorithmmodel allows genetic diversity by the application of selection and reproduction mechanisms nearer to nature. The space structure of the population is modified by dividing it into disjoined subpopulations. From time to time, individuals a...

According to the latest census conducted by the United Nations, currently about 213 million people, i.e. more than 3 percent of the world's population, live outside the country of their birth. The great mobility of the population has definitely different effects on host countries’ economy. The labor market along with commodity, capital and money markets as one of the main pillars of the e...

Biogeography Based Optimization (BBO) is a recently introduced optimization technique based on science of biogeography, i. e. , study of distribution of biological species over space and time. In BBO, potential solutions of a problem are grouped in integer vectors known as habitats. Feature, i. e. , Suitability Index Variable (SIV), sharing among various habitats is made to occur with migration...