Feature selection has become an indispensable machine learning process for data
preprocessing due to the ever-increasing sizes in actual data. There have been many …

Swarm intelligence (SI) is the collective behavior of decentralized, self-organized natural or
artificial systems. Monarch butterfly optimization (MBO) algorithm is a class of swarm …

Firefly algorithm (FA) is a new random swarm search optimization algorithm that is modeled
after movement and the mutual attraction of flashing fireflies. The number of fitness …

Recently, Gandomi and Alavi proposed a new heuristic search method, called krill herd
(KH), for solving global optimisation problems. In order to make KH more effective, a hybrid …

Many optimization problems have become increasingly complex, which promotes
researches on the improvement of different optimization algorithms. The monarch butterfly …

The growing demand for cloud computing adoption presents more challenges for
researchers to make cloud computing more efficient and affordable for infrastructure …

In recent years, wireless sensor networks (WSNs) have been growing rapidly because of
their ability to sense data, communicate wirelessly, and compute data efficiently. These …

This article proposes a new hybrid swarm intelligence optimization algorithm called
monarch butterfly optimization (MBO) algorithm with cuckoo search (CS) algorithm, named …

The rapid development of the agricultural Internet of Things (IoT) is inseparable from the
support of wireless sensor networks (WSNs) in recent years. To further facilitate the …

As a complicated high-dimensional optimisation problem, path planning navigation problem
for uninhabited combat air vehicles (UCAV) is to obtain a shortest safe flight route with …