The path planning for mobile robots has attracted extensive attention, and evolutionary algorithms have been applied to this problem increasingly. In paper, we propose a novel gradient eigendecomposition invariance biogeography-based optimization (GEI-BBO) robot planning, which the merits of high rotation excellent search performance. GEI-BBO, design an mechanism migration operation, can reduce...

Hub networks have always been acriticalissue in locating health facilities. Recently, a study has been investigated by Cocking et al. (2006)in Nouna health district in Burkina Faso, Africa, with a population of approximately 275,000 people living in 290 villages served by 23 health facilities. The travel times of the population to health services become extremely high during the rainy season, s...

Recent patents and progress on scan chain balance algorithms have been reviewed. With a significant increase of the SoC (System on Chip) integration and scale, the test time of SoC increase dramatically, and this makes the test cost of SoC grow rapidly. In order to reduce test cost and expense, the paper proposes an OBBO (Opposition-based learning and Biogeography Based Optimization) algorithm ...

Multiobjective optimization involves minimizing or maximizing multiple objective functions subject to a set of constraints. In this study, a novel constrained multiobjective biogeography optimization algorithm (CMBOA) is proposed. It is the first biogeography optimization algorithm for constrained multiobjective optimization. In CMBOA, a disturbance migration operator is designed to generate di...