Metaheuristic algorithms based on intelligent rules have been successfully developed and
applied to solve many optimization areas over the past few decades. The sine–cosine …

Recently, many intelligent algorithms have been proposed to find the best solution for
complex engineering problems. These algorithms can search volatile and multi-dimensional …

Bankruptcy prediction is a crucial application in financial fields to aid in accurate decision
making for business enterprises. Many models may stagnate to low-accuracy results due to …

This paper proposes a novel optimization algorithm, called Emperor Penguin Optimizer
(EPO), which mimics the huddling behavior of emperor penguins (Aptenodytes forsteri). The …

Abstract Fruit Fly Optimization Algorithm (FOA) is a metaheuristic algorithm inspired by fruit
fly foraging behaviours. A large numbers of variants of FOA have been proposed by many …

Selection methods have an important role in the meta-heuristic search (MHS) process.
However, apart from a few successful methods developed in the past, new and effective …

To cope with the potential shortcomings of classical fruit fly optimization algorithm (FOA), a
new version of FOA with Gaussian mutation operator and the chaotic local search strategy …

Abstract The Fruit Fly Optimization Algorithm (FOA) is a recent algorithm inspired by the
foraging behavior of fruit fly populations. However, the original FOA easily falls into the local …

Traditional sales forecasting methods are mainly based on historical sales data, which result
in a certain lag. The relationship between sales volume and its influencing factors is intricate …

It is crucial to develop a smart analytics system capable of accurately diagnosing diabetic
retinopathy. This research uses a new deep transfer network framework to diagnose …