In the crowded environment of bio-inspired population-based metaheuristics, the Salp
Swarm Optimization (SSO) algorithm recently appeared and immediately gained a lot of …

Predicting stock price remains one of the challenges for investors' investment strategies.
This study helps with accurate prediction and the main factors affecting variations in stock …

Humans have always been inspired by their environment to solve their problems. When it
directly imitates the behavior of living things, it is called biomimicry. Biomimicry seeks to …

In this paper, an improved fish swarm algorithm for neighborhood rough set reduction
(IFSANRSR) is proposed. In IFSANRSR, by introducing an adaptive function to control the …

Feature selection (FS) is an integral part of many machine learning problems in providing a
better and time-efficient classification model. In recent times, many new FS algorithms have …

In this article, different machine learning (ML) algorithms are provided to predict the
transformation temperature of pearlite using relevant material descriptors, austenitizing …

The ant colony algorithm is an algorithm adopted from the behavior of ants which naturally
ants are able to find the shortest route on the way from the nest to places of food sources …

With the continuous development of technology, the application of entertainment robots in
the field of dance performances is receiving increasing attention. This article focuses on the …

A recent study catalogued hundreds of meta-heuristics proposed over the past three
decades in Swarm Intelligence (SI) literature. This scenario makes it difficult for the …

Providing efficient unicast communication is a crucial challenge in Vehicular Ad-hoc
Networks (VANETs). Road-Side Unit (RSU) guarantees unicast communication by …