In this paper, a novel nature-inspired meta-heuristic known as Crested Porcupine Optimizer
(CPO) and inspired by various defensive behaviors of crested porcupine (CP) is proposed …

Abstract Numerical optimization, Unmanned Aerial Vehicle (UAV) path planning, and
engineering design problems are fundamental to the development of artificial intelligence …

Accurately predicting wind and photovoltaic power is one of the keys to improving the
economy of wind-solar complementary power generation system, reducing scheduling costs …

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 …

A recently developed swarm-based meta-heuristic algorithm namely Grey Wolf Optimization
algorithm (GWO), which is based on the hunting and leadership behaviours of the grey …

The grey wolf optimizer is an effective and well-known meta-heuristic algorithm, but it also
has the weaknesses of insufficient population diversity, falling into local optimal solutions …

Sea horse optimizer (SHO) is a noteworthy metaheuristic algorithm that emulates various
intelligent behaviors exhibited by sea horses, encompassing feeding patterns, male …

Monitoring stations have been established to combat water pollution, improve the
ecosystem, promote human health, and facilitate drinking water production. However …

This study investigates the impact of pulse-on-time (T ON), current (I), pulse-off-time (T OFF),
voltage (V), and tool electrode speed (TES) on material removal rate (MRR), average …

The propane pre-cooled mixed refrigerant (C3MR) process is one of the most widely used
and efficient natural gas liquefaction processes. However, optimization of this process …