This paper comprehensively analyzes the Manta Ray Foraging Optimization (MRFO)
algorithm and its integration into diverse academic fields. Introduced in 2020, the MRFO …

Meta-heuristic search algorithms (MHSs) are methods that take their inspiration from nature.
However, the fitness value information used in the design of the update mechanism in MHSs …

The integration of several renewable energy sources (RESs), such as photovoltaic
generation (PVG) and wind turbine generation (WTG), introduces a significant amount of …

Metaheuristic algorithms are currently being studied in depth by many scholars, and it is an
important task to improve the learning and adaptive capabilities of the algorithms so that …

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 …

UAV technology is at the forefront of current research and plays an important role in
agriculture, public safety and the military. Low altitude trajectory is a technology for UAVs to …

The teaching–learning-based optimization (TLBO) algorithm, composed of a teacher phase
and a learner phase, is one of the most popular global optimization approaches. It is …

A new bio-inspired meta-heuristic algorithm, named Sled Dog Optimizer (SDO), is proposed
in this paper. The inspiration for SDO is primarily drawn from the various behavioral patterns …

In this paper, an improved bio-inspired optimization algorithm called Seagull Optimization
Algorithm (ISOA) is proposed. ISOA is developed based on three techniques, these …

Aquila Optimizer (AO) and African Vultures Optimization Algorithm (AVOA) are two newly
developed meta-heuristic algorithms that simulate several intelligent hunting behaviors of …