Financial institutions, by and large, rely on the use of machine learning techniques to
improve the classic credit risk assessment model for reduction of costs, delivery of faster …

To obtain high-quality Pareto optimal solutions and to enhance the searchability of the
biogeography-based optimization (BBO) algorithm, we present an improved BBO algorithm …

Abstract Biogeography Based Optimization (BBO) is a population based metaheuristic
algorithm using the idea of migration and mutation operation of species for solving complex …

Many people use online social networks to share their opinions and information in this
digital age. The number of people engaged and their dynamic nature pose a major …

In social network analysis, the influence maximization problem recognizes a small set of
seed nodes that effectively maximizes the aggregated influence under a cascading …

With deep learning technology, machine learning has shown impressive results.
Nonetheless, these techniques frequently use excessive amounts of resources; they …

The process of arranging fingerprint images based on their characteristics and features is
called fingerprint classification. This process of classification eases the matching process …

In an ever-changing environment, investors are competing for profits. Under diverse
situations, portfolios of assets along with various financial markets are crucial for investment …

In this work, we have examined a Novel Biogeography based optimized FLANN for
classifying noisy fingerprints as a biometric classifier. Here the database is collected in real …

With the emergence of Big Data, the existing optimization techniques need to be tested to
find those that are not suitable to handle high dimensional problems. The number of …