An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
Slime mould algorithm: a comprehensive review of recent variants and applications
Slime Mould Algorithm (SMA) has recently received much attention from researchers
because of its simple structure, excellent optimisation capabilities, and acceptable …
because of its simple structure, excellent optimisation capabilities, and acceptable …
Economic energy managementof networked flexi-renewable energy hubs according to uncertainty modeling by the unscented transformation method
XW Zhang, X Yu, X Ye, S Pirouzi - Energy, 2023 - Elsevier
The utilization of energy hubs (EHs) in the power system and simultaneous energy
management of several energy networks is of high importance to increase energy efficiency …
management of several energy networks is of high importance to increase energy efficiency …
Artificial intelligence applied to battery research: hype or reality?
T Lombardo, M Duquesnoy, H El-Bouysidy… - Chemical …, 2021 - ACS Publications
This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …
Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems
The difficulty and complexity of the real-world numerical optimization problems has grown
manifold, which demands efficient optimization methods. To date, various metaheuristic …
manifold, which demands efficient optimization methods. To date, various metaheuristic …
Stationary and mobile storages-based renewable off-grid system planning considering storage degradation cost based on information-gap decision theory …
This paper presents the planning of a hybrid renewable system with wind turbines and bio-
waste energy units along with stationary (ie, batteries) and mobile (ie, electric vehicles) …
waste energy units along with stationary (ie, batteries) and mobile (ie, electric vehicles) …
A survey on new generation metaheuristic algorithms
Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …
the solution of intractable optimization problems. Major advances have been made since the …
Compound fault diagnosis using optimized MCKD and sparse representation for rolling bearings
W Deng, Z Li, X Li, H Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The effective separation of fault characteristic components is the core of compound fault
diagnosis of rolling bearings. The intelligent optimization algorithm has better global …
diagnosis of rolling bearings. The intelligent optimization algorithm has better global …
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 …
A review on the studies employing artificial bee colony algorithm to solve combinatorial optimization problems
The ABC algorithm is one of the popular optimization algorithms and has been used
successfully in solving many real-world problems. Numeric, binary, integer, mixed integer …
successfully in solving many real-world problems. Numeric, binary, integer, mixed integer …