Nature-inspired algorithms have gained immense popularity in recent years to tackle hard
real world (NP hard and NP complete) problems and solve complex optimization functions …

Optimization is a classical issue and in many areas that are bound up with people's daily life.
In current decades, with the development of human civilization and industry society, many …

We propose a novel variation to biogeography-based optimization (BBO), which is an
evolutionary algorithm (EA) developed for global optimization. The new algorithm employs …

Biogeography-based optimization (BBO) is a new evolutionary optimization method that is
based on the science of biogeography. We propose two extensions to BBO. First, we …

Motivated by the migration mechanisms of ecosystems, various extensions to biogeography-
based optimization (BBO) are proposed here. As a global optimization method, BBO is an …

Efficient management of supply chain (SC) requires systematic considerations of
miscellaneous issues in its comprehensive version. In this paper, a multi-periodic structure is …

Biogeography-based optimization (BBO) algorithm is a new kind of optimization technique
based on biogeography concept. This population-based algorithm uses the idea of the …

This paper attempts to develop an elegant biogeography based optimization algorithm for
obtaining the best compromise solution of EED problem. The basic philosophy orients to …

We show that biogeography-based optimization (BBO) is a generalization of a genetic
algorithm with global uniform recombination (GA/GUR). Based on the common features of …

Biogeography-based optimization (BBO) is an evolutionary optimization algorithm that uses
migration to share information among candidate solutions. One limitation of BBO is that it …