The number of stock investors is growing every day, so providing more accurate predictions
for trend and stock value is essential to earning money. Neural networks have been used in …

This paper proposes two novel group-based frameworks that can be implemented into
almost any nature-inspired optimization algorithm. The proposed Group-Based (GB) and …

This research explores how cloud resource management is changing in businesses, with a
focus on Amazon Web Services (AWS) as the leader in cloud computing. It highlights how …

The implication of firefly and fuzzy firefly optimization algorithms has been greatly witnessed
in clustering techniques and extensively used in applications such as Image segmentation …

This study introduces the Modified Firefly Algorithm (MFA). This refined version merges the
conventional Firefly Algorithm with elements like Constraint Satisfaction Problem (CSP) …

Data mining is an endeavor to identify patterns, correlations, similarities, and links among
massive datasets in order to uncover hidden, intriguing information. The goal of clustering is …

Combinatorial optimization is a general reseach field in operations research and computer
science. Addition to that, solving combinatorial problems using modern meta-heuristics is a …

Biomimetics is an emerging field that allows mimicry of living organisms in nature to develop
different techniques so as to solve hard and complex problems related to optimization. The …

Biomimetics is an emerging field that allows mimicry of living organisms in nature to develop
different techniques so as to solve hard and complex problems related to optimization. The …

This paper presents novel modifications to the Firefly Algorithm (FA) that manipulate the
functionality of the intensity and attractiveness of fireflies through the incorporation of …