Abstract African Vulture Optimization Algorithm (AVOA) is a nature-inspired optimization
technique that draws its inspiration from the behaviours and foraging patterns of African …

Abstract Archimedes Optimization Algorithm (AOA) is a new physics-based optimizer that
simulates Archimedes principles. AOA has been used in a variety of real-world applications …

This paper examines and analyses a novel developed algorithm named Modified Artificial
Rabbits Optimization (mARO), which is based on the modification of a bio-inspired meta …

A population-based optimizer called beluga whale optimization (BWO) depicts behavioral
patterns of water aerobics, foraging, and diving whales. BWO runs effectively, nevertheless it …

Meta-Heuristic (MH) algorithms have recently proven successful in a broad range of
applications because of their strong capabilities in picking the optimal features and …

The production scheduling (PS) problem is a challenging task that involves assigning
manufacturing resources to jobs while ensuring that all constraints are satisfied. The key …

The pressing need for sustainable energy solutions has driven significant research in
optimizing solar photovoltaic (PV) systems which is crucial for maximizing energy …

This paper proposes an improved version of the Hunter‐prey optimization (HPO) method to
enhance its search capabilities for solving the Optimal Power Flow (OPF) problem, which …

Abstract Snow Ablation Optimizer (SAO) is a cutting-edge nature-inspired meta-heuristic
technique that mimics the sublimation and melting processes of snow in its quest for optimal …

Dynamic differential annealed optimization (DDAO) is a recently developed physics-based
metaheuristic technique that mimics the classical simulated annealing mechanism …