In recent years, Nigeria witnessed significant labour migration coupled with reduction in rural agricultural productivity. Youths abandoned farms for ventures with high returns and less drudgery in cities thus labour availability in peak agricultural seasons became scarce. The declining farm population constituting mostly women and old men are not capable of producing sufficient food for the no...

Biogeography Based Optimization (BBO) algorithm is a population-based algorithm based on biogeography concept, which uses the idea of the migration strategy of animals or other spices for solving optimization problems. Biogeography Based Optimization algorithm has a simple procedure to find the optimal solution for the non-smooth and non-convex problems through the steps of migration and mutati...

The paper addresses selected computational issues related to the challenge of dealing with poor statistics on international migration. Partial results of the on-going Eurostat-funded project on “Modelling of statistical data on migration and migrant population” (MIMOSA) are presented. The focus is on the data on population stocks by broad group of citizenship, sex and age. After a brief overvie...

Moth–flame optimization (MFO) is a prominent swarm intelligence algorithm that demonstrates sufficient efficiency in tackling various tasks. However, MFO cannot provide competitive results for complex problems. The sinks into the local optimum due to rapid dropping of population diversity and poor exploration. Hence, this article, migration-based moth–flame (M-MFO) proposed address mentioned is...

assigning a set of objects to groups such that objects in one group or cluster are more similar to each other than the other clusters’ objects is the main task of clustering analysis. sspco optimization algorithm is anew optimization algorithm that is inspired by the behavior of a type of bird called see-see partridge. one of the things that smart algorithms are applied to solve is the problem ...