Opposition-based Learning (OBL) is a new concept in machine learning, inspired from the
opposite relationship among entities. In 2005, for the first time the concept of opposition was …

Biogeography-based optimization (BBO) is an evolutionary algorithm which is inspired by
the migration of species between habitats. Almost 10 years have passed since the first BBO …

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 …

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 …

This paper presents a parametric level set-based reconstruction method for nonstationary
applications using electrical impedance tomography (EIT). Due to relatively low signal-to …

Shape-driven approaches have been proposed as an effective strategy for the electrical
impedance tomography (EIT) reconstruction problem in recent years. In order to augment …

In this paper, a level set-based reconstruction scheme is applied to multi-phase flow
monitoring using electrical impedance tomography (EIT). The proposed scheme involves …

BBO is one of the emerging meta-heuristic optimizer. It is based on sharing the features
among islands. This study proposes a hybrid algorithm obtained by incorporating fireworks …

Biogeography-based optimisation (BBO) is one of the popular evolutionary algorithms,
inspired by the theory of island biogeography. It has been successfully applied in various …

Electrical impedance tomography (EIT) is a non-invasive imaging technique that can be
used as a bed-side monitoring tool for human thorax imaging. EIT has high temporal …