Metaheuristic algorithms are an important area of research in artificial intelligence. The
tumbleweed optimization algorithm (TOA) is the newest metaheuristic optimization algorithm …

This paper introduces the Quantum Chimp Optimization Algorithm (QU-ChOA), which
integrates the Chimp Optimization Algorithm (ChOA) with quantum mechanics principles to …

The utilization of mechanical ventilation is of utmost importance in the management of
individuals afflicted with severe pulmonary conditions. During periods of a pandemic, it …

This paper proposes a new meta-heuristic optimization algorithm called Cleaner Fish
Optimization algorithm (CFO) inspired by cleaner fish. The CFO simulates the movement …

The gazelle optimization algorithm (GOA) is an iterative optimization method inspired by the
agile movements of gazelles, employing adaptive step sizes and velocity adjustments for …

Recently, the use of feature attribution methods in explainable artificial intelligence has
attracted significant attention. While many proposed methods in this domain involve …

Computational intelligence (CI)-based methods offer a practical approach to overcoming the
significant challenges posed by analytical and enumeration optimization methods when …

Meta-heuristic algorithms have great role in solving problems related to optimization. Meta-
heuristic method cannot solve problems related to optimization due to No Free Lunch theory …

Chaotic maps are sources of randomness formed by a set of rules and chaotic variables.
They have been incorporated into metaheuristics because they improve the balance of …

Oil‐immersed transformers play an important role in the stable operation of power systems.
In order to improve the accuracy of transformer fault diagnosis, a transformer fault diagnosis …