Monarch butterfly optimization: a comprehensive review
Swarm intelligence (SI) is the collective behavior of decentralized, self-organized natural or
artificial systems. Monarch butterfly optimization (MBO) algorithm is a class of swarm …
artificial systems. Monarch butterfly optimization (MBO) algorithm is a class of swarm …
A review on deep learning in planetary gearbox health state recognition: Methods, applications, and dataset publication
D Liu, L Cui, W Cheng - Measurement Science and Technology, 2023 - iopscience.iop.org
Planetary gearboxes have various merits in mechanical transmission, but their complex
structure and intricate operation modes bring large challenges in terms of fault diagnosis …
structure and intricate operation modes bring large challenges in terms of fault diagnosis …
Golden jackal optimization: A novel nature-inspired optimizer for engineering applications
N Chopra, MM Ansari - Expert Systems with Applications, 2022 - Elsevier
A new nature-inspired optimization method, named the Golden Jackal Optimization (GJO)
algorithm is proposed, which aims to provide an alternative optimization method for solving …
algorithm is proposed, which aims to provide an alternative optimization method for solving …
Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications
W Zhao, L Wang, S Mirjalili - Computer Methods in Applied Mechanics and …, 2022 - Elsevier
A new bio-inspired optimization algorithm called artificial hummingbird algorithm (AHA) is
proposed in this work to solve optimization problems. The AHA algorithm simulates the …
proposed in this work to solve optimization problems. The AHA algorithm simulates the …
Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications
W Zhao, Z Zhang, L Wang - Engineering Applications of Artificial …, 2020 - Elsevier
A new bio-inspired optimization technique, named Manta Ray Foraging Optimization
(MRFO) algorithm, is proposed and presented, aiming to providing a novel algorithm that …
(MRFO) algorithm, is proposed and presented, aiming to providing a novel algorithm that …
An effective multi-objective artificial hummingbird algorithm with dynamic elimination-based crowding distance for solving engineering design problems
Artificial hummingbird algorithm (AHA) is a recently developed bio-based metaheuristic and
it shows superior performance in handling single-objective optimization problems. Despite …
it shows superior performance in handling single-objective optimization problems. Despite …
Lévy flight distribution: A new metaheuristic algorithm for solving engineering optimization problems
In this paper, we propose a new metaheuristic algorithm based on Lévy flight called Lévy
flight distribution (LFD) for solving real optimization problems. The LFD algorithm is inspired …
flight distribution (LFD) for solving real optimization problems. The LFD algorithm is inspired …
MOSOA: A new multi-objective seagull optimization algorithm
This study introduces the extension of currently developed Seagull Optimization Algorithm
(SOA) in terms of multi-objective problems, which is entitled as Multi-objective Seagull …
(SOA) in terms of multi-objective problems, which is entitled as Multi-objective Seagull …
Henry gas solubility optimization: A novel physics-based algorithm
Several metaheuristic optimization algorithms have been developed to solve the real-world
problems recently. This paper proposes a novel metaheuristic algorithm named Henry gas …
problems recently. This paper proposes a novel metaheuristic algorithm named Henry gas …
Solar photovoltaic Maximum Power Point Tracking controller optimization using Grey Wolf Optimizer: A performance comparison between bio-inspired and traditional …
Solar photovoltaic systems are widely used; however, their performance is bound to weather
conditions, depending on irradiation, temperature, and the effect of shadows. Maximum …
conditions, depending on irradiation, temperature, and the effect of shadows. Maximum …