In recent years, Levy flight (LF) is increasingly being employed as search mechanism in
metaheuristics optimization algorithms (MOA) to solve complex real world problems. LF …

A novel swarm intelligence optimization algorithm is proposed, which is named alpine skiing
optimization (ASO). The main inspiration of the ASO originated from the behaviors of skiers …

Oil spills due to accidental leakage from Container Ships in a Marine environment poses a
major challenge to aquatic living organisms and affects human health by increasing the …

Recent advances in metaheuristics have shown the advantages of using the Lévy
distribution, which models a kind of random walk (named “Lévy flight”) with occasional “big” …

The job shop scheduling problem (JSSP) has been a hot issue in manufacturing. For the
past few decades, scholars have been attracted to research JSSP and proposed many novel …

Chaotic maps have the characteristics of ergodicity and non-repeatability. Owing to these
properties, they provide fast convergence by effectively scanning the search space in a …

Abstract The Marine Predators Algorithm (MPA) is a novel hunting-based optimizer. The
MPA's central concept is based on the well-known Lévy Flight (LF) and Brownian Motion …

This paper presents the improved version of the Lévy Flight Distribution (LFD) algorithm for
solving real-valued numerical optimization problems. In the proposed algorithm, the Fitness …

Background It is of great clinical significance to develop an accurate computer aided system
to accurately diagnose the breast cancer. In this study, an enhanced machine learning …

Lévy flight is a random walk mechanism which can make large jumps at local locations with
a high probability. The probability density distribution of Lévy flight was characterized by …