This paper presents the mathematical model, implementation guidelines, tuning of the
control parameters and the practical implementation of the newly-designed African Buffalo …

Supply Chain (SC) Optimization is a key activity in today's industry with the goal of
increasing operational efficiency, reducing costs, and improving customer satisfaction …

Nature-inspired algorithms have gained immense popularity in recent years to tackle hard
real world (NP hard and NP complete) problems and solve complex optimization functions …

Artificial rabbits optimization (ARO) is a metaheuristic algorithm based on the survival
strategy of rabbits proposed in 2022. ARO has favorable optimization performance, but it still …

Artificial Intelligence techniques, such as optimization algorithms, have become essential for
success in many fields. Therefore, most researchers, especially in computer and …

Bio-inspired optimization technique acts as the fundamental backbone of any AI assisted
expert system and Grey wolf optimizer (GWO) is a noteworthy example of one such …

Optimization of complex and nonlinear functions is essential across various domains, from
engineering and finance to artificial intelligence and machine learning. Rosenbrock's …

This paper anticipates to frame a hybrid Seagull Optimization Algorithm-Cuckoo Search
(SOA-CS) algorithm for objective function minimization. The migration and attacking …

A new bio-inspired optimization technique, named Manta Ray Foraging Optimization
(MRFO) algorithm, is proposed and presented, aiming to providing a novel algorithm that …

The reptile search algorithm is an effective optimization method based on the natural laws of
the biological world. By restoring and simulating the hunting process of reptiles, good …