A systematic review of metaheuristic algorithms in electric power systems optimization
GH Valencia-Rivera, MT Benavides-Robles… - Applied Soft …, 2024 - Elsevier
Electric power system applications are intricate optimization problems. Most literature
reviews focus on studying an electrical paradigm through different optimization techniques …
reviews focus on studying an electrical paradigm through different optimization techniques …
[HTML][HTML] Hyper-heuristics: A survey and taxonomy
Hyper-heuristics are search techniques for selecting, generating, and sequencing (meta)-
heuristics to solve challenging optimization problems. They differ from traditional (meta) …
heuristics to solve challenging optimization problems. They differ from traditional (meta) …
A Diffused Memetic Optimizer for reactive berth allocation and scheduling at marine container terminals in response to disruptions
MA Dulebenets - Swarm and Evolutionary Computation, 2023 - Elsevier
The economic development of numerous countries is defined by maritime supply chains to a
great extent. Substantial volumes of containerized cargoes delivered by ships are handled …
great extent. Substantial volumes of containerized cargoes delivered by ships are handled …
A comprehensive review of bio-inspired optimization algorithms including applications in microelectronics and nanophotonics
The application of artificial intelligence in everyday life is becoming all-pervasive and
unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired …
unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired …
Automated design of metaheuristics using reinforcement learning within a novel general search framework
Metaheuristic algorithms have been investigated intensively to address highly complex
combinatorial optimization problems. However, most metaheuristic algorithms have been …
combinatorial optimization problems. However, most metaheuristic algorithms have been …
[HTML][HTML] Meta-heuristic techniques in microgrid management: A survey
As a small energy system, microgrid plays an important role in utilizing distributed energy
resources, improving traditional energy networks, and building intelligent integrated energy …
resources, improving traditional energy networks, and building intelligent integrated energy …
A selection hyper-heuristic algorithm with Q-learning mechanism
F Zhao, Y Liu, N Zhu, T Xu - Applied Soft Computing, 2023 - Elsevier
The selection of an algorithm in the real world of the application domain is a challenging
problem as no specific algorithm exists capable of solving all issues to a satisfactory …
problem as no specific algorithm exists capable of solving all issues to a satisfactory …
Parameter extraction of photovoltaic cells and modules by hybrid white shark optimizer and artificial rabbits optimization
This study presents the parameter extraction of photovoltaic (PV) cells and modules using a
new hybrid metaheuristic algorithm developed based on the white shark optimizer (WSO) …
new hybrid metaheuristic algorithm developed based on the white shark optimizer (WSO) …
World Hyper-Heuristic: A novel reinforcement learning approach for dynamic exploration and exploitation
In the real world, there are many complex problems in engineering. Every problem has a
level of computational complexity, starting from simple problems and reaching NP-hard …
level of computational complexity, starting from simple problems and reaching NP-hard …
MAB-OS: multi-armed bandits metaheuristic optimizer selection
Metaheuristic algorithms are derivative-free optimizers designed to estimate the global
optima for optimization problems. Keeping balance between exploitation and exploration …
optima for optimization problems. Keeping balance between exploitation and exploration …