The combination of refrigeration systems and solar photovoltaic (PV) technology has
become a viable alternative to tackle the difficulties caused by electricity limitations …

Introducing a novel meta-heuristic optimization algorithm, the Flood Algorithm (FLA) draws
inspiration from the intricate movement and flow patterns of water masses during flooding …

Abstract The Artificial Hummingbird Algorithm (AHA) is a metaheuristic optimization
technique inspired by the behaviours and foraging strategies of hummingbirds. Known for …

The increasing complexity and high-dimensional nature of real-world optimization problems
necessitate the development of advanced optimization algorithms. Traditional Particle …

This study introduces an enhanced self-adaptive wild goose algorithm (SAWGA) for solving
economical-environmental-technical optimal power flow (OPF) problems in traditional and …

The global solar energy utilization has significantly risen, mostly due to the technological,
economic, and environmental advantages it offers, particularly through the implementation …

Crayfish optimization algorithm (COA) is a novel bionic metaheuristic algorithm with high
convergence speed and solution accuracy. However, in some complex optimization …

It is commonly known that a number of variables, including price, supply levels, time, and
green level, affect how quickly certain things are in demand. Furthermore, the inventory …

Abstract Kepler Optimization Algorithm (KOA) is a physically based meta-heuristic algorithm
inspired by Kepler's laws to simulate planetary motions, KOA shows strong performance on …

This article introduces differentiated creative search (DCS), a groundbreaking optimization
algorithm that revolutionizes traditional decision-making systems in complex environments …